US20140257868A1 - Systems and methods for processing vehicle insurance based on acuity testing performance - Google Patents
Systems and methods for processing vehicle insurance based on acuity testing performance Download PDFInfo
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- US20140257868A1 US20140257868A1 US14/203,115 US201414203115A US2014257868A1 US 20140257868 A1 US20140257868 A1 US 20140257868A1 US 201414203115 A US201414203115 A US 201414203115A US 2014257868 A1 US2014257868 A1 US 2014257868A1
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C1/00—Tyres characterised by the chemical composition or the physical arrangement or mixture of the composition
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q1/00—Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R25/00—Fittings or systems for preventing or indicating unauthorised use or theft of vehicles
- B60R25/20—Means to switch the anti-theft system on or off
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0208—Trade or exchange of goods or services in exchange for incentives or rewards
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
- G08G1/096838—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the user preferences are taken into account or the user selects one route out of a plurality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Definitions
- the present disclosure generally relates to systems and methods for offering vehicle insurance policies and, more particularly, to platforms and techniques for rating, underwriting, and processing insurance policy offers based at least in part on performances of customers on acuity tests.
- Vehicle or automobile insurance exists to provide financial protection against physical damage and/or bodily injury resulting from traffic accidents and against liability that could arise therefrom.
- a customer purchases a vehicle insurance policy for a policy rate having a specified term.
- the insurer pays for damages to the insured which are caused by covered perils, acts, or events as specified by the language of the insurance policy.
- the payments from the insured are generally referred to as “premiums,” and typically are paid on behalf of the insured over time at periodic intervals.
- An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy.
- An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy, or if the insured or the insurer cancels the policy.
- a computer-implemented method of offering vehicle insurance includes receiving, from a customer associated with a vehicle, a request for a vehicle insurance policy covering use of the vehicle, and providing an acuity assessment to the customer for completion by the customer.
- the method further includes receiving, from the customer associated with the vehicle, acuity data resulting from the customer completing the acuity assessment, generating a quote for the vehicle insurance policy based at least in part on the acuity data, and providing the quote for the vehicle insurance policy to the customer.
- a system for offering vehicle insurance includes a communication module adapted to communicate data, a memory adapted to store non-transitory computer executable instructions, and a processor adapted to interface with the communication module.
- the processor is configured to execute the non-transitory computer executable instructions to cause the processor to receive, from a customer associated with a vehicle via the communication module, a request for a vehicle insurance policy covering use of the vehicle, and provide, to the customer via the communication module, an acuity assessment for completion by the customer.
- the processor is further configured to execute the non-transitory computer executable instructions to cause the processor to receive, from the customer associated with the vehicle via the communication module, acuity data resulting from the customer completing the acuity assessment, generate a quote for the vehicle insurance policy based at least in part on the acuity data, and provide, to the customer via the communication module, the quote for the vehicle insurance policy.
- FIG. 1 depicts an example environment including components and entities associated with administering acuity assessments and processing vehicle insurance in accordance with some embodiments.
- FIG. 2 depicts an example diagram associated with administering acuity assessments and processing vehicle insurance in accordance with some embodiments.
- FIGS. 3A and 3B depict example interfaces associated with an example acuity assessment in accordance with some embodiments.
- FIGS. 4A and 4B depict example interfaces associated with an additional example acuity assessment in accordance with some embodiments.
- FIGS. 5A and 5B depict example interfaces associated with purchasing an insurance policy in accordance with some embodiments.
- FIG. 6 depicts a flow diagram associated with administering acuity assessments and processing vehicle insurance in accordance with some embodiments.
- FIG. 7 is a block diagram of a processing server in accordance with some embodiments.
- a vehicle operator i.e., customer or potential customer
- a vehicle operator may, at a given time, not be covered under an associated vehicle insurance policy.
- the vehicle operator may find himself or herself in a situation or environment in which vehicle insurance is desired or necessary, especially in some short-term usage situations. In normal situations, the vehicle operator does not have the ability to purchase such vehicle insurance because an insurance provider may not have the requisite resources to quickly assess or ascertain an underwriting risk of insuring the vehicle operator.
- the vehicle operator can use an electronic device to communicate with an insurance provider to facilitate purchase of a vehicle insurance policy.
- the vehicle operator may use the electronic device to request a vehicle insurance policy, for example a policy that is related to a short-term use of the vehicle (e.g., a certain amount of miles or a certain time period).
- the insurance provider may identify a relevant acuity assessment, such as an acuity assessment designed to measure or assess the vehicle operator's vision (normal or peripheral), reaction time or other motor coordination, recitation ability, color blindness, depth perception, dual judgment, or other abilities.
- the insurance provider communicates the acuity assessment to the electronic device, and the vehicle operator uses the electronic device to complete the acuity assessment and send results to the insurance provider. Based on the results of the acuity assessment, the insurance provider determines a quote for a vehicle insurance policy and communicates the quote to the vehicle operator. According to embodiments, the vehicle operator may purchase the vehicle insurance policy using the electronic device and, upon purchase, may be deemed insured according to the policy.
- the systems and methods therefore enable customers to effectively and efficiently purchase vehicle insurance policies in situations in which the customers may need a short-term policy. Further, insurance providers are able to accurately gauge underwriting risks for the customers through administration of acuity assessments.
- the term “insurance policy,” as used herein, generally refers to a contract between an insurer and an insured.
- the insurer pays for damages to the insured, as well as damages by the insured for which the insured is liable, which are caused by covered perils, acts or events as specified by the language of the insurance policy.
- the payments from the insured to the insurer are generally referred to as “premiums,” and typically are paid on behalf of the insured upon purchase of the insurance policy or over time at periodic intervals.
- the amount of the damages payment is generally referred to as a “coverage amount” or a “face amount” of the insurance policy.
- An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy.
- An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when the parameters of the insurance policy have expired, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy (e.g., for variable life or universal life insurance policies), or if the insured or the insurer cancels the policy.
- an insurance provider is used interchangeably herein to generally refer to a party or entity (e.g., a business or other organizational entity) that provides insurance products, e.g., by offering and issuing insurance policies.
- an insurance provider may be an insurance company.
- an insurance provider may offer or provide one or more different types of insurance policies.
- Other types of insurance policies may include, for example, homeowners insurance; condominium owner insurance; renter's insurance; life insurance (e.g., whole-life, universal, variable, term); health insurance; disability insurance; long-term care insurance; annuities; business insurance (e.g., property, liability, commercial auto, workers compensation, professional and specialty liability, inland marine and mobile property, surety and fidelity bonds); boat insurance; insurance for catastrophic events such as flood, fire, volcano damage and the like; motorcycle insurance; farm and ranch insurance; personal article insurance; personal liability insurance; personal umbrella insurance; community organization insurance (e.g., for associations, religious organizations, cooperatives); and other types of insurance products.
- the insurance providers process claims related to insurance policies that cover one or more properties (e.g., homes, automobiles, personal articles), although processing other insurance policies is also envisioned.
- insured generally refers to a person, party or entity that is responsible for payment of the insurance premiums.
- the guarantor may or may not be the same party as the insured, such as in situations when a guarantor has power of attorney for the insured.
- an “annuitant,” as referred to herein, generally refers to a person, party or entity that is entitled to receive benefits from an annuity insurance product offered by the insuring party.
- the annuitant may or may not be the same party as the guarantor.
- a person or customer (or an agent of the person or customer) of an insurance provider fills out an application for an insurance policy.
- the data for an application may be automatically determined or already associated with a potential customer.
- the application may undergo underwriting to assess the eligibility of the party and/or desired insured article or entity to be covered by the insurance policy, and, in some cases, to determine any specific terms or conditions that are to be associated with the insurance policy, e.g., amount of the premium, riders or exclusions, waivers, and the like.
- the insurance policy may be in-force, (i.e., the policyholder is enrolled).
- FIG. 1 depicts an example environment 100 associated with administering acuity tests and processing vehicle insurance based on results the acuity tests. Although FIG. 1 depicts certain entities, components, and devices, it should be appreciated that additional or alternate entities and components are envisioned.
- the environment 100 includes a vehicle 105 that may be any type of car, automobile, truck, motorcycle, fleet of vehicles, marine vessel, or other vehicle capable of being driven or operated by a driver or operator.
- vehicle 105 has an electronic device 106 associated therewith.
- the electronic device 106 may be installed as an on-board dash of the vehicle 105 , such as part of an original equipment manufacturer (OEM) installation on the vehicle 105 .
- OEM original equipment manufacturer
- the electronic device 106 may belong to a driver or operator of the vehicle 105 (“vehicle operator”).
- the electronic device 106 may be a smartphone of the vehicle operator.
- the electronic device 106 may be associated with the vehicle operator, whereby the vehicle operator may have one or more insured vehicles. Further, in some embodiments, the electronic device 106 may be associated with multiple drivers of the same vehicle 105 .
- the electronic device 106 can be configured to communicate with an insurance provider 110 via a network 120 .
- the network 120 can facilitate any type of data communication via any standard or technology (e.g., GSM, CDMA, TDMA, WCDMA, LTE, EDGE, OFDM, GPRS, EV-DO, UWB, IEEE 802 including Ethernet, WiMAX, and/or others).
- the insurance provider 110 can be any individual, group of individuals, company, corporation, or other type of entity that can issue insurance policies for customers, such as a vehicle insurance policy for the vehicle 105 .
- the insurance provider 110 can include one or more processing server(s) 125 configured to facilitate the functionalities as discussed herein.
- FIG. 1 depicts the processing server 125 as a part of the insurance provider 110 , it should be appreciated that the processing server 125 can be separate from (and connected to or accessible by) the insurance provider 110 .
- the vehicle operator may use the electronic device 106 to send a request to the insurance provider 110 for options or quotes for various insurance policies available for the vehicle 105 .
- the desired insurance policy may be tailored to a short-term use of the vehicle, whereby the insurance policy may offer coverage for a set distance, a set operating time, a set time frame, or other metrics or parameters.
- “short-term” use may include distances of up to 10,000 miles or more, operating times of up to 500 hours or more, or time frames of up to 6 months or more. It should be appreciated that the acuity assessment techniques as discussed herein may be applied to other, more conventional vehicle insurance policies.
- the processing server 125 can be coupled to a database 115 configured to store data associated with vehicle insurance policies. Further, the database 115 may store acuity assessment or testing information and data. The processing server 125 may be configured to administer or facilitate the administration of an acuity assessment in response to receiving a request for insurance coverage from the electronic device 106 . According to some embodiments, the acuity assessments may be software routines, applications, functions, or the like that are configurable to be executed by the electronic device 106 . In other embodiments, the processing server 125 (or a user associated therewith) may facilitate the acuity assessments manually such as through conducting the acuity assessments via a telephone call.
- the acuity assessments may be configured to measure or assess certain abilities or conditions of the vehicle operator.
- the acuity assessments may measure the vehicle operator's vision (normal or peripheral), reaction time or other motor coordination, recitation ability, color blindness, depth perception, dual judgment, and/or other abilities or conditions.
- one acuity assessment may require the vehicle operator to answer a series of questions within a certain timeframe.
- another acuity assessment may require the vehicle operator to react when a certain shape or character is displayed on the electronic device 106 .
- the processing server 125 may select a default or standard acuity assessment to administer to the vehicle operator.
- the processing server 125 may select a particular acuity assessment based on details of the request received from the electronic device 106 .
- the processing server 125 may be configured to send one or more acuity assessments to the electronic device 106 via the network 120 .
- the electronic device 106 can be configured to initiate or execute (e.g., via a dedicated application) the received acuity assessment.
- the vehicle operator can view the acuity assessment on the electronic device 106 and perform the acuity assessment by making selections or performing tasks specified by the acuity assessment.
- the electronic device 106 accordingly, can receive any associated inputs from the vehicle operator, as well as can record or maintain the inputs or results (generally: the acuity data) of the acuity assessment. Further, the electronic device 106 can send the acuity data to the processing server 125 via the network 120 .
- the processing server 125 can examine the acuity data of the acuity assessment to calculate or determine a performance, result, score, or other metric that indicates how the vehicle operator performed on the acuity assessment. In some embodiments, the electronic device 106 can also calculate or determine a performance, result, score, or other metric of the acuity assessment and send the determined performance to the processing server 125 via the network 120 .
- the processing server 125 can examine the performance by the vehicle operator on the acuity assessment to determine whether to insure the vehicle operator and how to insure the vehicle operator. Depending on the performance on the acuity assessment, the processing server 125 may deem certain vehicle operators more risky to insure than other vehicle operators. The processing server 125 may therefore generate a quote for an insurance policy for the vehicle operator, with the terms and price of the insurance policy based on the performance on the acuity assessment. The terms of the insurance policy may vary.
- the insurance policy may offer coverage for a certain amount of miles, a certain amount of operating time, or a certain period of time; coverage with a minimum deductible of a certain amount (e.g., higher/lower deductibles for riskier/safer drivers); coverage with maximum allowable limits (e.g., lower/higher limits for riskier/safer drivers); or coverage having other metrics or parameters.
- the terms of the insurance policy may be the same or different from the amount of coverage originally requested by the vehicle operator. For example, if the vehicle operator originally requests insurance coverage for 15 miles, but is located only 5 miles from home (and has a relatively low performance on the acuity assessment), the processing server 125 may offer an insurance policy for a distance of 5 miles.
- the electronic device 106 may present the quote for the insurance policy to the vehicle operator, and the vehicle operator may select the quote for purchase of the insurance policy.
- the vehicle operator may request a modification to the quote (e.g., more miles or fewer miles), which the processing server 125 may reject or accept, and which may or may not result in a change in price of the insurance policy. For example, if the vehicle operator requests more mileage than what is specified in the quote, the processing server 125 may offer more insured miles, but for a greater rate. If the vehicle operator selects to purchase an insurance policy, the electronic device 106 and the processing server 125 may facilitate a purchase transaction.
- FIG. 2 illustrated is a signal diagram 200 associated with administering acuity assessments and offering vehicle insurance policies based on results of the acuity assessments.
- FIG. 2 includes a vehicle/customer device 206 (such as the electronic device 106 as described with respect to FIG. 1 ) and an insurance provider 210 (such as the insurance provider 110 as described with respect to FIG. 1 ).
- the vehicle/customer device 206 may include any electronic device associated with the vehicle (e.g., an on-board dash system) and/or any electronic device associated with a user/driver/operator of the vehicle (e.g., a vehicle operator's smartphone).
- the signal diagram 200 may begin when a customer (i.e., vehicle operator) uses the vehicle/customer device 206 to send a request ( 222 ) to the insurance provider 210 for vehicle insurance.
- vehicle/customer device 206 may submit the request via a dedicated application, a website, or other channels.
- the requested insurance policy may relate to a short-term use of the vehicle (e.g., a certain mileage, operating time, time period, or the like).
- the request may include a desired amount of coverage (e.g., 100 miles, 3 hours, etc.).
- the request may include various customer information, such as the customer's name, phone number, or other identifying or descriptive information.
- the customer may specify a specific amount or range of insurance coverage with the request. For example, the customer may determine that he/she is five (5) miles away from home, and may therefore request insurance coverage for five (5) miles. For further example, the customer may request insurance coverage for a trip that is not to exceed thirty (30) minutes.
- the electronic device 106 may also store a home address, work address, or other address associated with the customer and may send any address along with its current location (e.g., GPS coordinates) to the insurance provider 210 . Accordingly, the insurance provider 210 can determine a distance between the vehicle/customer device 206 (and therefore the vehicle) and a work address, home address, or other address associated with the customer. In this case, the insurance provider 210 may automatically determine that the customer may want insurance coverage for the determined distance.
- the insurance provider 210 may receive the request for vehicle insurance and identify ( 224 ) a proper acuity assessment to administer to the customer.
- the identified acuity assessment may be based on the type or amount of vehicle insurance requested. For example, if the request specifies 5,000 miles of coverage, the insurance provider 210 may identify an intelligence test as a relevant acuity assessment to administer to the customer. For further example, if the request specifies 30 minutes of coverage, the insurance provider 210 may identify a motor coordination test as a relevant acuity assessment to administer to the customer.
- the insurance provider 210 may provide ( 226 ) the acuity assessment to the vehicle/customer device 206 and the customer may use the vehicle/customer device 206 to perform and complete ( 228 ) the acuity assessment.
- the vehicle/customer device 206 may locally initiate and execute the acuity assessment, for example via a dedicated application.
- an administrator associated with the insurance provider 210 may communicate with the vehicle/customer device 206 (e.g., via a telephone call) to administer the acuity assessment and obtain results therefrom.
- the vehicle/customer device 206 may provide ( 230 ) the acuity assessment results (generally, the acuity data) to the insurance provider 210 .
- the vehicle/customer device 206 may calculate a score or other type of performance metric for the performed acuity assessment and provide the performance data to the insurance provider 210 .
- the insurance provider 210 may analyze ( 232 ) the results. In particular, the insurance provider 210 may determine a score or performance metric for the acuity assessment.
- the performance metric may be a general indication of the customer's performance such as “PASS” or “FAIL.” In other cases, the performance metric may be a numeric score or percentage (e.g., three seconds, 79%, etc.). It should be appreciated that various algorithms and techniques for determining the customer's performance on the acuity assessment are envisioned.
- the insurance provider 210 may use the assessment results to determine ( 234 ) whether to insure the customer.
- the insurance provider 210 may compare the performance metric to a threshold metric and if the performance metric meets or exceeds the threshold metric, the insurance provider 210 may determine to insure the customer (“YES”) and processing may proceed to ( 238 ). Similarly, if the performance metric does not meet the threshold metric, the insurance provider 210 may determine to deny coverage to the customer (“NO”) and processing may proceed to ( 236 ) at which the insurance provider 210 notifies the customer via the vehicle/customer device 206 that insurance coverage has been denied. It should be appreciated that other techniques to determine whether to insure the customer are envisioned.
- the insurance provider 210 can generate a quote for a vehicle insurance policy.
- the terms of the quote may be based on the original request from the vehicle/customer device 206 and/or based on the customer's performance on the acuity assessment.
- the insurance provider 210 may adjust any requested terms for an insurance policy based on the customer's performance on the acuity assessment. For example, if the customer requests to be insured for 50 miles and does well on the acuity assessment (e.g., meets or exceeds a threshold metric), then the quote can offer an insurance policy for 50 (or more) miles.
- the quote can offer an insurance policy for only 200 miles.
- the insurance provider 210 may also adjust the cost or price of an insurance policy based on the performance of the acuity assessment. Generally, the better the customer's performance on the acuity assessment, the less cost of the insurance policy (and vice-versa). In embodiments, the insurance provider 210 may identify a default insurance policy (e.g., 100 miles, 1 week, etc.) for the customer and adjust the price of the default insurance policy based on the customer's performance on the acuity assessment.
- a default insurance policy e.g., 100 miles, 1 week, etc.
- the insurance provider 210 can provide ( 240 ) the insurance quote to the vehicle/customer device 206 and the vehicle/customer device 206 can present the insurance quote to the customer.
- the customer may request a modification to the insurance policy (and may receive a modified quote from the insurance provider 210 ). Otherwise, the customer can use the vehicle/customer device 206 to select ( 242 ) to purchase the insurance policy.
- the insurance provider 210 and the vehicle/customer device 206 may facilitate ( 244 ) a purchase transaction for the insurance policy. It should be appreciated that the insurance provider 210 and the vehicle/customer device 206 may employ any checkout or payment processing technique to facilitate the purchase transaction.
- the insurance policy may include an expiration odometer value that is calculated as the sum of the current odometer reading for the vehicle and the total number of miles (or other distance units) included in the selected insurance policy.
- the insurance policy may include an expiration time defined as the insured amount of time added to the current time. The time may correspond to an operating time of the vehicle (e.g., engine on/off time), or a current time metric. Further, it should be appreciated that the insurance amount of time may be spread out over multiple time periods. For example, certain time segments may be used on one day while additional time segments may be used on another day, regardless of the elapsing of the current time.
- the insurance provider 210 may store or record the associated expiration odometer value or expiration time.
- the embodiments as described relate to initiating or creating a new insurance policy for a customer, it should be appreciated that the techniques may also be used to update or supplement an existing insurance policy for the customer.
- the insurance provider 210 may receive the original request for vehicle insurance from the vehicle/customer device 206 and may locate or retrieve an existing insurance policy associated with the vehicle (or an operator of the vehicle), and generate a quote that may be in addition to or in lieu of the existing insurance policy.
- the insurance provider 210 may provide the quote to the vehicle/customer device 206 and facilitate any subsequent purchase transaction, as detailed herein.
- the insurance provider 210 may manage a renewal of a purchased insurance policy, with the same or modified parameters of the purchased insurance policy.
- the acuity assessment may be provided to a temporary vehicle operator having a connection to an existing customer (e.g., a customer's son or daughter), whereby a supplemental insurance policy for the temporary vehicle operator may be created based on the acuity results of the temporary vehicle operator and may be added to the customer's existing insurance policy.
- an existing customer e.g., a customer's son or daughter
- FIGS. 3A , 3 B, 4 A, and 4 B illustrate example interfaces associated with example acuity assessments.
- a vehicle or a customer device e.g., an on-board dash system, a smartphone, etc.
- a dedicated application that is configured to operate on the vehicle or consumer device may display the interfaces. It should be appreciated that the interfaces are merely examples and that alternative or additional content is envisioned.
- FIG. 3A illustrates an interface 340 indicating a visual acuity assessment that is configured to measure a user's reaction speed.
- the interface 340 includes instructions for the user to touch a small shape when the user sees one appear.
- the interface 340 includes several large shapes that may animate throughout the interface 340 , disappear, reappear, or cycle through other visual effects.
- the interface 340 may further include a timer 341 that can measure the amount of time between when a small shape appears on the interface 340 and when the user selects or touches the small shape on the interface 340 .
- FIG. 3B illustrates another interface 345 for the same visual acuity assessment after a small shape 343 appears on the interface 345 .
- the interface 345 indicates that the user has touched or selected the small shape 343 (“NICE!”) and the timer 341 indicates an amount of time that elapses between when the small shape 343 appeared and when the user selected the small shape 343 (as shown: 0.90′′).
- the customer/vehicle device or an insurance provider may calculate a score or otherwise the user's general performance based on the timer 341 value. Further, the insurance provider may use the score or performance to decide whether to insure the user, as well as determine terms for one or more associated insurance policies to offer the user.
- FIG. 4A illustrates an interface 440 indicating a coordination acuity assessment that is configured to measure a user's hand-eye coordination.
- the interface 440 includes instructions for the user to draw a line from START to FINISH (e.g., via a touch-sensitive interface of the customer/vehicle device).
- the interface 440 includes a narrow, zig-zagging path with START on a first end and FINISH on a second end.
- FIG. 4B illustrates another interface 445 for the same coordination acuity assessment after the user draws a line 444 from START to FINISH.
- the interface 445 includes an “okay” selection 443 that, upon selection by the user, transmits data associated with the line 444 (generally, the acuity data) to the insurance provider.
- the customer/vehicle device or an insurance provider may calculate a score or otherwise the user's general performance based on attributes of the line 444 , such as how straight the line 444 is, how many times the line 444 contacts or crosses the borders of the path, how long it took the user to draw the line 444 , and/or other metrics.
- the insurance provider may examine the score or performance to decide whether to insure the user, as well as determine terms for one or more associated insurance policies to offer the user.
- FIGS. 5A and 5B illustrate example interfaces associated with offering and purchasing an insurance policy.
- a vehicle or a customer device e.g., an on-board dash system, a smartphone, etc.
- a dedicated application that is configured to operate on the vehicle or consumer device may display the interfaces. It should be appreciated that the interfaces are merely examples and that alternative or additional content is envisioned.
- FIG. 5A illustrates an interface 540 that presents an insurance quote for review by a user of the vehicle/customer device.
- the interface 540 includes an indication of how the user performed on an acuity assessment (“YOUR ACUITY ASSESSMENT WENT WELL!”) and details various options for short-term vehicle insurance.
- the insurance provider may determine the options for the short-term vehicle insurance based on the performance on the acuity assessment by the user.
- the vehicle insurance options include a mileage-based policy (50 miles of coverage for $15.00) and a time-based policy (2 hours of coverage for $12.00).
- the interface 540 enables the user to select one of the options for vehicle insurance (as shown: the mileage-based policy is selected).
- the interface 540 further includes a “purchase” selection 543 , a “modify” selection 542 , and a “reject” selection 541 . If the user selects the purchase selection 543 , the vehicle/customer device may initiate a purchase transaction functionality that enables the user to purchase an insurance policy corresponding to the selected quote/option.
- the modify selection 542 enables the user to select to modify the quote. In some embodiments, the user may select or request an alternate or additional coverage type, which may or may not require approval by the insurance provider and may or may not result in cost modifications.
- the reject selection 541 enables the user to select to reject the policy, return to a previous screen, quit the application, or another similar functionality.
- FIG. 5B illustrates an interface 545 indicating a success message, whereby the success message indicates that the insurance policy purchase was completed, and also indicates various terms of the insurance policy (as shown: 50 miles of coverage).
- the interface 545 also includes an “okay” selection 547 that, when selected, may dismiss the interface 545 and/or perform other functionalities.
- FIG. 6 depicted is a block diagram of an example insurance policy purchasing technique 600 that may be facilitated between the insurance provider 110 (and specifically the processing server 125 ) as depicted in FIG. 1 and a customer associated with a vehicle.
- the customer may access an electronic device (such as the electronic device 106 ) to perform an acuity assessment and facilitate the purchase of the insurance policy.
- the insurance provider can receive (block 605 ), from the customer associated with the vehicle, a request for a vehicle insurance policy covering short-term usage of the vehicle.
- the request may include a requested distance (e.g., 50 miles, 100 miles, etc.) that the customer desires to be covered by the insurance policy, as well as a current odometer reading of the vehicle.
- the request may include a time duration (e.g., 30 minutes, 24 hours, etc.) during which the customer desires to be covered by the insurance policy.
- the insurance provider can identify a relevant acuity assessment and provide (block 610 ) the acuity assessment to the customer for completion by the customer. It should be appreciated that various acuity assessments are envisioned such as, for example, visual assessments, audio assessments, verbal assessments, physically interactive assessments, or other assessments.
- the insurance provider can receive (block 615 ), from the customer associated with the vehicle, acuity data resulting from the customer completing the acuity assessment.
- the acuity data may be raw or compiled data resulting from the customer performing and completing the acuity assessment.
- the insurance provider can examine (block 620 ) the acuity data to determine a performance by the customer.
- the performance may be designated as a numerical metric (e.g., a score, percentage, or the like) or a descriptive metric (e.g., “bad,” “fair,” “good,” etc.).
- the insurance provider can determine (block 625 ) whether to insure the customer based on the performance.
- the insurance provider may compare the performance to a predetermined threshold to determine if the performance meets or exceeds the predetermined threshold. If the insurance provider determines to not insure the customer (“NO”), processing can end or proceed to any other functionality. If the insurance provider determines to insure the customer (“YES”), processing can proceed to block 630 at which the insurance provider can generate a quote for the vehicle insurance policy based at least in part on the performance by the customer. It should be appreciated that the insurance provider may generate the quote based on other factors such as limits, deductibles, territories, type of vehicle, and/or others.
- the quote can indicate a policy rate and/or an amount of coverage that may be commensurate with the performance by the customer.
- the insurance provider can modify a policy rate for a default short-term vehicle insurance policy based on the performance. In other cases, the insurance provider can modify an amount of coverage for a default short-term vehicle insurance policy based on the performance.
- the insurance provider can provide or communicate (block 635 ) the quote for the vehicle insurance policy to the customer.
- the insurance provider may interface with a vehicle- or customer-based device (e.g., via an application installed thereon) to present the quote.
- the customer may interact with the vehicle- or customer-based device to review the quote and select to purchase the vehicle insurance policy.
- the customer may request a modification to the quote, such as an adjustment to a policy rate, an amount of coverage, and/or other parameters.
- the insurance provider may calculate or determine any modifications according to the modification request. In any event, if the customer selects to purchase the vehicle insurance policy, the insurance provider may receive (block 640 ) an acceptance of the quote from the customer.
- the insurance provider can facilitate (block 645 ) a purchase transaction with the customer for the insurance policy.
- the purchase transaction may be facilitated via the vehicle- or customer-based device, or via other communication channels. Responsive to completing the purchase transaction, the insurance policy may be deemed active for the customer.
- FIG. 7 illustrates a diagram of an example processing server 725 (such as the processing server 125 discussed with respect to FIG. 1 ) in which the functionalities as discussed herein may be implemented. It should be appreciated that the processing server 725 can be associated with an insurance provider, as discussed herein.
- the processing server 725 can include a processor 722 as well as a memory 778 .
- the memory 778 can store an operating system 779 capable of facilitating the functionalities as discussed herein as well as a set of applications 775 (i.e., machine readable instructions).
- one of the set of applications 775 can be a policy processing application 784 configured to facilitate the offering and purchase of an insurance policy
- another of the set of applications 775 can be an acuity assessment application 790 configured to administer acuity assessments and process results from the acuity assessments. It should be appreciated that other applications are envisioned.
- the processor 722 can interface with the memory 778 to execute the operating system 779 and the set of applications 775 .
- the memory 778 can also include a data record storage 780 that stores location and operating information associated with a plurality of vehicles.
- the policy processing application 784 may interface with the data record storage 780 to retrieve relevant information that the policy processing application 784 may use to generate insurance policies and terms associated therewith.
- the memory 778 can include one or more forms of volatile and/or non-volatile, fixed and/or removable memory, such as read-only memory (ROM), electronic programmable read-only memory (EPROM), random access memory (RAM), erasable electronic programmable read-only memory (EEPROM), and/or other hard drives, flash memory, MicroSD cards, and others.
- the processing server 725 can further include a communication module 777 configured to communicate data via one or more networks 720 .
- the communication module 777 can include one or more transceivers (e.g., WWAN, WLAN, and/or WPAN transceivers) functioning in accordance with IEEE standards, 3GPP standards, or other standards, and configured to receive and transmit data via one or more external ports 776 .
- the communication module 777 can send, via the network 720 , acuity assessments and receive acuity data resulting from assessment performance.
- the processing server 725 may further include a user interface 781 configured to present information to a user and/or receive inputs from the user. As shown in FIG.
- the user interface 781 includes a display screen 782 and I/O components 783 (e.g., ports, capacitive or resistive touch sensitive input panels, keys, buttons, lights, LEDs, speakers, microphones).
- I/O components 783 e.g., ports, capacitive or resistive touch sensitive input panels, keys, buttons, lights, LEDs, speakers, microphones.
- the user may access the processing server 725 via the user interface 781 to process insurance policies and/or perform other functions.
- the processing server 725 can perform the functionalities as discussed herein as part of a “cloud” network or can otherwise communicate with other hardware or software components within the cloud to send, retrieve, or otherwise analyze data.
- a computer program product in accordance with an embodiment includes a computer usable storage medium (e.g., standard random access memory (RAM), an optical disc, a universal serial bus (USB) drive, or the like) having computer-readable program code embodied therein, wherein the computer-readable program code is adapted to be executed by the processor 722 (e.g., working in connection with the operating system 779 ) to facilitate the functions as described herein.
- the program code may be implemented in any desired language, and may be implemented as machine code, assembly code, byte code, interpretable source code or the like (e.g., via C, C++, Java, Actionscript, Objective-C, Javascript, CSS, XML).
- the computer program product may be part of a cloud network of resources.
- routines, subroutines, applications, or instructions may constitute either software (e.g., code embodied on a non-transitory, machine-readable medium) or hardware.
- routines, etc. are tangible units capable of performing certain operations and may be configured or arranged in a certain manner.
- one or more computer systems e.g., a standalone, client or server computer system
- one or more hardware modules of a computer system e.g., a processor or a group of processors
- software e.g., an application or application portion
- a hardware module may be implemented mechanically or electronically.
- a hardware module may comprise dedicated circuitry or logic that is permanently configured (e.g., as a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) to perform certain operations.
- a hardware module may also comprise programmable logic or circuitry (e.g., as encompassed within a general-purpose processor or other programmable processor) that is temporarily configured by software to perform certain operations. It will be appreciated that the decision to implement a hardware module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.
- the term “hardware module” should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein.
- hardware modules are temporarily configured (e.g., programmed)
- each of the hardware modules need not be configured or instantiated at any one instance in time.
- the hardware modules comprise a general-purpose processor configured using software
- the general-purpose processor may be configured as respective different hardware modules at different times.
- Software may accordingly configure a processor, for example, to constitute a particular hardware module at one instance of time and to constitute a different hardware module at a different instance of time.
- Hardware modules can provide information to, and receive information from, other hardware modules. Accordingly, the described hardware modules may be regarded as being communicatively coupled. Where multiple of such hardware modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) that connect the hardware modules. In embodiments in which multiple hardware modules are configured or instantiated at different times, communications between such hardware modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware modules have access. For example, one hardware module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware modules may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).
- a resource e.g., a collection of information
- processors may be temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions.
- the modules referred to herein may, in some example embodiments, comprise processor-implemented modules.
- the methods or routines described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented hardware modules. The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment or as a server farm), while in other embodiments the processors may be distributed across a number of locations.
- the performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines.
- the one or more processors or processor-implemented modules may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the one or more processors or processor-implemented modules may be distributed across a number of geographic locations.
- any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment.
- the appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
- Coupled and “connected” along with their derivatives.
- some embodiments may be described using the term “coupled” to indicate that two or more elements are in direct physical or electrical contact.
- the term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still cooperate or interact with each other.
- the embodiments are not limited in this context.
- the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion.
- a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
- “or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).
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Abstract
Description
- This application claims the benefit of U.S. Provisional Application No. 61/775,652, filed Mar. 10, 2013, which is incorporated by reference herein.
- The present disclosure generally relates to systems and methods for offering vehicle insurance policies and, more particularly, to platforms and techniques for rating, underwriting, and processing insurance policy offers based at least in part on performances of customers on acuity tests.
- Vehicle or automobile insurance exists to provide financial protection against physical damage and/or bodily injury resulting from traffic accidents and against liability that could arise therefrom. Typically, a customer purchases a vehicle insurance policy for a policy rate having a specified term. In exchange for payments from the insured customer, the insurer pays for damages to the insured which are caused by covered perils, acts, or events as specified by the language of the insurance policy. The payments from the insured are generally referred to as “premiums,” and typically are paid on behalf of the insured over time at periodic intervals. An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy. An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy, or if the insured or the insurer cancels the policy.
- Most vehicle insurance policies are in force for long periods of time (often six months or more). However, there are often instances in which a vehicle operator may only need insurance for a short period of time or for short distances. In these instances, insurance providers are not able to account for the acuity of the vehicle operator in underwriting and pricing an insurance policy. Because insurance providers offer insurance policies based on underwriting risks, there is no way for insurance providers to offer vehicle insurance to these potential customers.
- Accordingly, there is an opportunity for systems and methods to assess an underwriting risk of a potential customer for vehicle insurance. In particular, there is an opportunity for systems and methods to administer acuity assessments associated with requests for vehicle insurance policies covering various uses of vehicles.
- In an embodiment, a computer-implemented method of offering vehicle insurance is provided. The method includes receiving, from a customer associated with a vehicle, a request for a vehicle insurance policy covering use of the vehicle, and providing an acuity assessment to the customer for completion by the customer. The method further includes receiving, from the customer associated with the vehicle, acuity data resulting from the customer completing the acuity assessment, generating a quote for the vehicle insurance policy based at least in part on the acuity data, and providing the quote for the vehicle insurance policy to the customer.
- In another embodiment, a system for offering vehicle insurance is provided. The system includes a communication module adapted to communicate data, a memory adapted to store non-transitory computer executable instructions, and a processor adapted to interface with the communication module. The processor is configured to execute the non-transitory computer executable instructions to cause the processor to receive, from a customer associated with a vehicle via the communication module, a request for a vehicle insurance policy covering use of the vehicle, and provide, to the customer via the communication module, an acuity assessment for completion by the customer. The processor is further configured to execute the non-transitory computer executable instructions to cause the processor to receive, from the customer associated with the vehicle via the communication module, acuity data resulting from the customer completing the acuity assessment, generate a quote for the vehicle insurance policy based at least in part on the acuity data, and provide, to the customer via the communication module, the quote for the vehicle insurance policy.
- The figures described below depict various aspects of the system and methods disclosed herein. It should be understood that each figure depicts an embodiment of a particular aspect of the disclosed system and methods, and that each of the figures is intended to accord with a possible embodiment thereof. Further, wherever possible, the following description refers to the reference numerals included in the following figures, in which features depicted in multiple figures are designated with consistent reference numerals.
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FIG. 1 depicts an example environment including components and entities associated with administering acuity assessments and processing vehicle insurance in accordance with some embodiments. -
FIG. 2 depicts an example diagram associated with administering acuity assessments and processing vehicle insurance in accordance with some embodiments. -
FIGS. 3A and 3B depict example interfaces associated with an example acuity assessment in accordance with some embodiments. -
FIGS. 4A and 4B depict example interfaces associated with an additional example acuity assessment in accordance with some embodiments. -
FIGS. 5A and 5B depict example interfaces associated with purchasing an insurance policy in accordance with some embodiments. -
FIG. 6 depicts a flow diagram associated with administering acuity assessments and processing vehicle insurance in accordance with some embodiments. -
FIG. 7 is a block diagram of a processing server in accordance with some embodiments. - The novel systems and methods disclosed herein relate generally to processing vehicle insurance policies. According to certain aspects, a vehicle operator (i.e., customer or potential customer) may, at a given time, not be covered under an associated vehicle insurance policy. The vehicle operator may find himself or herself in a situation or environment in which vehicle insurance is desired or necessary, especially in some short-term usage situations. In normal situations, the vehicle operator does not have the ability to purchase such vehicle insurance because an insurance provider may not have the requisite resources to quickly assess or ascertain an underwriting risk of insuring the vehicle operator.
- According to present embodiments, the vehicle operator can use an electronic device to communicate with an insurance provider to facilitate purchase of a vehicle insurance policy. In particular, the vehicle operator may use the electronic device to request a vehicle insurance policy, for example a policy that is related to a short-term use of the vehicle (e.g., a certain amount of miles or a certain time period). To gauge an underwriting risk of the vehicle operator, the insurance provider may identify a relevant acuity assessment, such as an acuity assessment designed to measure or assess the vehicle operator's vision (normal or peripheral), reaction time or other motor coordination, recitation ability, color blindness, depth perception, dual judgment, or other abilities. The insurance provider communicates the acuity assessment to the electronic device, and the vehicle operator uses the electronic device to complete the acuity assessment and send results to the insurance provider. Based on the results of the acuity assessment, the insurance provider determines a quote for a vehicle insurance policy and communicates the quote to the vehicle operator. According to embodiments, the vehicle operator may purchase the vehicle insurance policy using the electronic device and, upon purchase, may be deemed insured according to the policy.
- The systems and methods therefore enable customers to effectively and efficiently purchase vehicle insurance policies in situations in which the customers may need a short-term policy. Further, insurance providers are able to accurately gauge underwriting risks for the customers through administration of acuity assessments.
- Although the following text sets forth a detailed description of numerous different embodiments, it should be understood that the legal scope of the invention is defined by the words of the claims set forth at the end of this patent. The detailed description is to be construed as exemplary only and does not describe every possible embodiment, as describing every possible embodiment would be impractical, if not impossible. One could implement numerous alternate embodiments, using either current technology or technology developed after the filing date of this patent, which would still fall within the scope of the claims.
- It should also be understood that, unless a term is expressly defined in this patent using the sentence “As used herein, the term ‘______’ is hereby defined to mean . . . ” or a similar sentence, there is no intent to limit the meaning of that term, either expressly or by implication, beyond its plain or ordinary meaning, and such term should not be interpreted to be limited in scope based on any statement made in any section of this patent (other than the language of the claims). To the extent that any term recited in the claims at the end of this disclosure is referred to in this disclosure in a manner consistent with a single meaning, that is done for sake of clarity only so as to not confuse the reader, and it is not intended that such claim term be limited, by implication or otherwise, to that single meaning. Finally, unless a claim element is defined by reciting the word “means” and a function without the recital of any structure, it is not intended that the scope of any claim element be interpreted based on the application of 35 U.S.C. §112, sixth paragraph.
- Accordingly, the term “insurance policy,” as used herein, generally refers to a contract between an insurer and an insured. In exchange for payments from the insured, the insurer pays for damages to the insured, as well as damages by the insured for which the insured is liable, which are caused by covered perils, acts or events as specified by the language of the insurance policy. The payments from the insured to the insurer are generally referred to as “premiums,” and typically are paid on behalf of the insured upon purchase of the insurance policy or over time at periodic intervals. The amount of the damages payment is generally referred to as a “coverage amount” or a “face amount” of the insurance policy. An insurance policy may remain (or have a status or state of) “in-force” while premium payments are made during the term or length of coverage of the policy as indicated in the policy. An insurance policy may “lapse” (or have a status or state of “lapsed”), for example, when the parameters of the insurance policy have expired, when premium payments are not being paid, when a cash value of a policy falls below an amount specified in the policy (e.g., for variable life or universal life insurance policies), or if the insured or the insurer cancels the policy.
- The terms “insurer,” “insuring party,” and “insurance provider” are used interchangeably herein to generally refer to a party or entity (e.g., a business or other organizational entity) that provides insurance products, e.g., by offering and issuing insurance policies. Typically, but not necessarily, an insurance provider may be an insurance company.
- Although the embodiments discussed herein relate to vehicle or automobile insurance policies, it should be appreciated that an insurance provider may offer or provide one or more different types of insurance policies. Other types of insurance policies may include, for example, homeowners insurance; condominium owner insurance; renter's insurance; life insurance (e.g., whole-life, universal, variable, term); health insurance; disability insurance; long-term care insurance; annuities; business insurance (e.g., property, liability, commercial auto, workers compensation, professional and specialty liability, inland marine and mobile property, surety and fidelity bonds); boat insurance; insurance for catastrophic events such as flood, fire, volcano damage and the like; motorcycle insurance; farm and ranch insurance; personal article insurance; personal liability insurance; personal umbrella insurance; community organization insurance (e.g., for associations, religious organizations, cooperatives); and other types of insurance products. In embodiments as described herein, the insurance providers process claims related to insurance policies that cover one or more properties (e.g., homes, automobiles, personal articles), although processing other insurance policies is also envisioned.
- The terms “insured,” “insured party,” “policyholder,” “customer,” “claimant,” and “potential claimant” are used interchangeably herein to refer to a person, party, or entity (e.g., a business or other organizational entity) that is covered by the insurance policy, e.g., whose insured article or entity (e.g., property, life, health, auto, home, business) is covered by the policy. A “guarantor,” as used herein, generally refers to a person, party or entity that is responsible for payment of the insurance premiums. The guarantor may or may not be the same party as the insured, such as in situations when a guarantor has power of attorney for the insured. An “annuitant,” as referred to herein, generally refers to a person, party or entity that is entitled to receive benefits from an annuity insurance product offered by the insuring party. The annuitant may or may not be the same party as the guarantor.
- Typically, a person or customer (or an agent of the person or customer) of an insurance provider fills out an application for an insurance policy. In some cases, the data for an application may be automatically determined or already associated with a potential customer. The application may undergo underwriting to assess the eligibility of the party and/or desired insured article or entity to be covered by the insurance policy, and, in some cases, to determine any specific terms or conditions that are to be associated with the insurance policy, e.g., amount of the premium, riders or exclusions, waivers, and the like. Upon approval by underwriting, acceptance of the applicant to the terms or conditions, and payment of the initial premium, the insurance policy may be in-force, (i.e., the policyholder is enrolled).
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FIG. 1 depicts anexample environment 100 associated with administering acuity tests and processing vehicle insurance based on results the acuity tests. AlthoughFIG. 1 depicts certain entities, components, and devices, it should be appreciated that additional or alternate entities and components are envisioned. - As illustrated in
FIG. 1 , theenvironment 100 includes avehicle 105 that may be any type of car, automobile, truck, motorcycle, fleet of vehicles, marine vessel, or other vehicle capable of being driven or operated by a driver or operator. Thevehicle 105 has anelectronic device 106 associated therewith. In some cases, theelectronic device 106 may be installed as an on-board dash of thevehicle 105, such as part of an original equipment manufacturer (OEM) installation on thevehicle 105. In other cases, theelectronic device 106 may belong to a driver or operator of the vehicle 105 (“vehicle operator”). For example, theelectronic device 106 may be a smartphone of the vehicle operator. It should be appreciated that other types of electronic devices are envisioned, such as notebook computers, tablets, GPS devices, and/or the like. According to embodiments, theelectronic device 106 may be associated with the vehicle operator, whereby the vehicle operator may have one or more insured vehicles. Further, in some embodiments, theelectronic device 106 may be associated with multiple drivers of thesame vehicle 105. - The
electronic device 106 can be configured to communicate with aninsurance provider 110 via anetwork 120. Thenetwork 120 can facilitate any type of data communication via any standard or technology (e.g., GSM, CDMA, TDMA, WCDMA, LTE, EDGE, OFDM, GPRS, EV-DO, UWB, IEEE 802 including Ethernet, WiMAX, and/or others). Theinsurance provider 110 can be any individual, group of individuals, company, corporation, or other type of entity that can issue insurance policies for customers, such as a vehicle insurance policy for thevehicle 105. According to embodiments, theinsurance provider 110 can include one or more processing server(s) 125 configured to facilitate the functionalities as discussed herein. AlthoughFIG. 1 depicts theprocessing server 125 as a part of theinsurance provider 110, it should be appreciated that theprocessing server 125 can be separate from (and connected to or accessible by) theinsurance provider 110. - The vehicle operator may use the
electronic device 106 to send a request to theinsurance provider 110 for options or quotes for various insurance policies available for thevehicle 105. In particular, the desired insurance policy may be tailored to a short-term use of the vehicle, whereby the insurance policy may offer coverage for a set distance, a set operating time, a set time frame, or other metrics or parameters. For example, “short-term” use may include distances of up to 10,000 miles or more, operating times of up to 500 hours or more, or time frames of up to 6 months or more. It should be appreciated that the acuity assessment techniques as discussed herein may be applied to other, more conventional vehicle insurance policies. - The
processing server 125 can be coupled to adatabase 115 configured to store data associated with vehicle insurance policies. Further, thedatabase 115 may store acuity assessment or testing information and data. Theprocessing server 125 may be configured to administer or facilitate the administration of an acuity assessment in response to receiving a request for insurance coverage from theelectronic device 106. According to some embodiments, the acuity assessments may be software routines, applications, functions, or the like that are configurable to be executed by theelectronic device 106. In other embodiments, the processing server 125 (or a user associated therewith) may facilitate the acuity assessments manually such as through conducting the acuity assessments via a telephone call. - The acuity assessments may be configured to measure or assess certain abilities or conditions of the vehicle operator. In particular, the acuity assessments may measure the vehicle operator's vision (normal or peripheral), reaction time or other motor coordination, recitation ability, color blindness, depth perception, dual judgment, and/or other abilities or conditions. For example, one acuity assessment may require the vehicle operator to answer a series of questions within a certain timeframe. For further example, another acuity assessment may require the vehicle operator to react when a certain shape or character is displayed on the
electronic device 106. It should be appreciated that other or alternative acuity assessments are envisioned. In some cases, theprocessing server 125 may select a default or standard acuity assessment to administer to the vehicle operator. In other cases, theprocessing server 125 may select a particular acuity assessment based on details of the request received from theelectronic device 106. - The
processing server 125 may be configured to send one or more acuity assessments to theelectronic device 106 via thenetwork 120. Theelectronic device 106 can be configured to initiate or execute (e.g., via a dedicated application) the received acuity assessment. The vehicle operator can view the acuity assessment on theelectronic device 106 and perform the acuity assessment by making selections or performing tasks specified by the acuity assessment. Theelectronic device 106, accordingly, can receive any associated inputs from the vehicle operator, as well as can record or maintain the inputs or results (generally: the acuity data) of the acuity assessment. Further, theelectronic device 106 can send the acuity data to theprocessing server 125 via thenetwork 120. Theprocessing server 125 can examine the acuity data of the acuity assessment to calculate or determine a performance, result, score, or other metric that indicates how the vehicle operator performed on the acuity assessment. In some embodiments, theelectronic device 106 can also calculate or determine a performance, result, score, or other metric of the acuity assessment and send the determined performance to theprocessing server 125 via thenetwork 120. - According to embodiments, the
processing server 125 can examine the performance by the vehicle operator on the acuity assessment to determine whether to insure the vehicle operator and how to insure the vehicle operator. Depending on the performance on the acuity assessment, theprocessing server 125 may deem certain vehicle operators more risky to insure than other vehicle operators. Theprocessing server 125 may therefore generate a quote for an insurance policy for the vehicle operator, with the terms and price of the insurance policy based on the performance on the acuity assessment. The terms of the insurance policy may vary. For example, the insurance policy may offer coverage for a certain amount of miles, a certain amount of operating time, or a certain period of time; coverage with a minimum deductible of a certain amount (e.g., higher/lower deductibles for riskier/safer drivers); coverage with maximum allowable limits (e.g., lower/higher limits for riskier/safer drivers); or coverage having other metrics or parameters. The terms of the insurance policy may be the same or different from the amount of coverage originally requested by the vehicle operator. For example, if the vehicle operator originally requests insurance coverage for 15 miles, but is located only 5 miles from home (and has a relatively low performance on the acuity assessment), theprocessing server 125 may offer an insurance policy for a distance of 5 miles. - The
electronic device 106 may present the quote for the insurance policy to the vehicle operator, and the vehicle operator may select the quote for purchase of the insurance policy. In some cases, the vehicle operator may request a modification to the quote (e.g., more miles or fewer miles), which theprocessing server 125 may reject or accept, and which may or may not result in a change in price of the insurance policy. For example, if the vehicle operator requests more mileage than what is specified in the quote, theprocessing server 125 may offer more insured miles, but for a greater rate. If the vehicle operator selects to purchase an insurance policy, theelectronic device 106 and theprocessing server 125 may facilitate a purchase transaction. - Referring to
FIG. 2 , illustrated is a signal diagram 200 associated with administering acuity assessments and offering vehicle insurance policies based on results of the acuity assessments. In particular,FIG. 2 includes a vehicle/customer device 206 (such as theelectronic device 106 as described with respect toFIG. 1 ) and an insurance provider 210 (such as theinsurance provider 110 as described with respect toFIG. 1 ). It should be appreciated that the vehicle/customer device 206 may include any electronic device associated with the vehicle (e.g., an on-board dash system) and/or any electronic device associated with a user/driver/operator of the vehicle (e.g., a vehicle operator's smartphone). - The signal diagram 200 may begin when a customer (i.e., vehicle operator) uses the vehicle/
customer device 206 to send a request (222) to theinsurance provider 210 for vehicle insurance. It should be appreciated that vehicle/customer device 206 may submit the request via a dedicated application, a website, or other channels. In embodiments, the requested insurance policy may relate to a short-term use of the vehicle (e.g., a certain mileage, operating time, time period, or the like). Further, the request may include a desired amount of coverage (e.g., 100 miles, 3 hours, etc.). Additionally, the request may include various customer information, such as the customer's name, phone number, or other identifying or descriptive information. - In embodiments, the customer may specify a specific amount or range of insurance coverage with the request. For example, the customer may determine that he/she is five (5) miles away from home, and may therefore request insurance coverage for five (5) miles. For further example, the customer may request insurance coverage for a trip that is not to exceed thirty (30) minutes. In certain aspects, the
electronic device 106 may also store a home address, work address, or other address associated with the customer and may send any address along with its current location (e.g., GPS coordinates) to theinsurance provider 210. Accordingly, theinsurance provider 210 can determine a distance between the vehicle/customer device 206 (and therefore the vehicle) and a work address, home address, or other address associated with the customer. In this case, theinsurance provider 210 may automatically determine that the customer may want insurance coverage for the determined distance. - The
insurance provider 210 may receive the request for vehicle insurance and identify (224) a proper acuity assessment to administer to the customer. The identified acuity assessment may be based on the type or amount of vehicle insurance requested. For example, if the request specifies 5,000 miles of coverage, theinsurance provider 210 may identify an intelligence test as a relevant acuity assessment to administer to the customer. For further example, if the request specifies 30 minutes of coverage, theinsurance provider 210 may identify a motor coordination test as a relevant acuity assessment to administer to the customer. Theinsurance provider 210 may provide (226) the acuity assessment to the vehicle/customer device 206 and the customer may use the vehicle/customer device 206 to perform and complete (228) the acuity assessment. In some cases, the vehicle/customer device 206 may locally initiate and execute the acuity assessment, for example via a dedicated application. In other cases, an administrator associated with theinsurance provider 210 may communicate with the vehicle/customer device 206 (e.g., via a telephone call) to administer the acuity assessment and obtain results therefrom. - After the customer performs and completes the acuity assessment, the vehicle/
customer device 206 may provide (230) the acuity assessment results (generally, the acuity data) to theinsurance provider 210. In some embodiments, the vehicle/customer device 206 may calculate a score or other type of performance metric for the performed acuity assessment and provide the performance data to theinsurance provider 210. After receiving the acuity assessment results, theinsurance provider 210 may analyze (232) the results. In particular, theinsurance provider 210 may determine a score or performance metric for the acuity assessment. In some cases, the performance metric may be a general indication of the customer's performance such as “PASS” or “FAIL.” In other cases, the performance metric may be a numeric score or percentage (e.g., three seconds, 79%, etc.). It should be appreciated that various algorithms and techniques for determining the customer's performance on the acuity assessment are envisioned. - The
insurance provider 210 may use the assessment results to determine (234) whether to insure the customer. In embodiments, theinsurance provider 210 may compare the performance metric to a threshold metric and if the performance metric meets or exceeds the threshold metric, theinsurance provider 210 may determine to insure the customer (“YES”) and processing may proceed to (238). Similarly, if the performance metric does not meet the threshold metric, theinsurance provider 210 may determine to deny coverage to the customer (“NO”) and processing may proceed to (236) at which theinsurance provider 210 notifies the customer via the vehicle/customer device 206 that insurance coverage has been denied. It should be appreciated that other techniques to determine whether to insure the customer are envisioned. - At (238), the
insurance provider 210 can generate a quote for a vehicle insurance policy. The terms of the quote may be based on the original request from the vehicle/customer device 206 and/or based on the customer's performance on the acuity assessment. In some cases, theinsurance provider 210 may adjust any requested terms for an insurance policy based on the customer's performance on the acuity assessment. For example, if the customer requests to be insured for 50 miles and does well on the acuity assessment (e.g., meets or exceeds a threshold metric), then the quote can offer an insurance policy for 50 (or more) miles. For further example, if the customer requests to be insured for 500 miles and does meet a specific threshold performance on the acuity assessment, then the quote can offer an insurance policy for only 200 miles. Theinsurance provider 210 may also adjust the cost or price of an insurance policy based on the performance of the acuity assessment. Generally, the better the customer's performance on the acuity assessment, the less cost of the insurance policy (and vice-versa). In embodiments, theinsurance provider 210 may identify a default insurance policy (e.g., 100 miles, 1 week, etc.) for the customer and adjust the price of the default insurance policy based on the customer's performance on the acuity assessment. - The
insurance provider 210 can provide (240) the insurance quote to the vehicle/customer device 206 and the vehicle/customer device 206 can present the insurance quote to the customer. Although not depicted inFIG. 2 , the customer may request a modification to the insurance policy (and may receive a modified quote from the insurance provider 210). Otherwise, the customer can use the vehicle/customer device 206 to select (242) to purchase the insurance policy. Theinsurance provider 210 and the vehicle/customer device 206 may facilitate (244) a purchase transaction for the insurance policy. It should be appreciated that theinsurance provider 210 and the vehicle/customer device 206 may employ any checkout or payment processing technique to facilitate the purchase transaction. In cases in which the insurance policy is distance-based, the insurance policy may include an expiration odometer value that is calculated as the sum of the current odometer reading for the vehicle and the total number of miles (or other distance units) included in the selected insurance policy. In cases in which the insurance policy is time-based, the insurance policy may include an expiration time defined as the insured amount of time added to the current time. The time may correspond to an operating time of the vehicle (e.g., engine on/off time), or a current time metric. Further, it should be appreciated that the insurance amount of time may be spread out over multiple time periods. For example, certain time segments may be used on one day while additional time segments may be used on another day, regardless of the elapsing of the current time. Theinsurance provider 210 may store or record the associated expiration odometer value or expiration time. - Although the embodiments as described relate to initiating or creating a new insurance policy for a customer, it should be appreciated that the techniques may also be used to update or supplement an existing insurance policy for the customer. In particular, the
insurance provider 210 may receive the original request for vehicle insurance from the vehicle/customer device 206 and may locate or retrieve an existing insurance policy associated with the vehicle (or an operator of the vehicle), and generate a quote that may be in addition to or in lieu of the existing insurance policy. Theinsurance provider 210 may provide the quote to the vehicle/customer device 206 and facilitate any subsequent purchase transaction, as detailed herein. In further embodiments, theinsurance provider 210 may manage a renewal of a purchased insurance policy, with the same or modified parameters of the purchased insurance policy. Moreover, the acuity assessment may be provided to a temporary vehicle operator having a connection to an existing customer (e.g., a customer's son or daughter), whereby a supplemental insurance policy for the temporary vehicle operator may be created based on the acuity results of the temporary vehicle operator and may be added to the customer's existing insurance policy. -
FIGS. 3A , 3B, 4A, and 4B illustrate example interfaces associated with example acuity assessments. A vehicle or a customer device (e.g., an on-board dash system, a smartphone, etc.) may be configured to display the interfaces and receive selections and inputs via the interfaces. For example, a dedicated application that is configured to operate on the vehicle or consumer device may display the interfaces. It should be appreciated that the interfaces are merely examples and that alternative or additional content is envisioned. -
FIG. 3A illustrates aninterface 340 indicating a visual acuity assessment that is configured to measure a user's reaction speed. Theinterface 340 includes instructions for the user to touch a small shape when the user sees one appear. Theinterface 340 includes several large shapes that may animate throughout theinterface 340, disappear, reappear, or cycle through other visual effects. Theinterface 340 may further include atimer 341 that can measure the amount of time between when a small shape appears on theinterface 340 and when the user selects or touches the small shape on theinterface 340. -
FIG. 3B illustrates anotherinterface 345 for the same visual acuity assessment after asmall shape 343 appears on theinterface 345. Theinterface 345 indicates that the user has touched or selected the small shape 343 (“NICE!”) and thetimer 341 indicates an amount of time that elapses between when thesmall shape 343 appeared and when the user selected the small shape 343 (as shown: 0.90″). In some embodiments, the customer/vehicle device (or an insurance provider) may calculate a score or otherwise the user's general performance based on thetimer 341 value. Further, the insurance provider may use the score or performance to decide whether to insure the user, as well as determine terms for one or more associated insurance policies to offer the user. -
FIG. 4A illustrates aninterface 440 indicating a coordination acuity assessment that is configured to measure a user's hand-eye coordination. Theinterface 440 includes instructions for the user to draw a line from START to FINISH (e.g., via a touch-sensitive interface of the customer/vehicle device). Theinterface 440 includes a narrow, zig-zagging path with START on a first end and FINISH on a second end. -
FIG. 4B illustrates anotherinterface 445 for the same coordination acuity assessment after the user draws aline 444 from START to FINISH. Theinterface 445 includes an “okay”selection 443 that, upon selection by the user, transmits data associated with the line 444 (generally, the acuity data) to the insurance provider. In some embodiments, the customer/vehicle device (or an insurance provider) may calculate a score or otherwise the user's general performance based on attributes of theline 444, such as how straight theline 444 is, how many times theline 444 contacts or crosses the borders of the path, how long it took the user to draw theline 444, and/or other metrics. Further, the insurance provider may examine the score or performance to decide whether to insure the user, as well as determine terms for one or more associated insurance policies to offer the user. -
FIGS. 5A and 5B illustrate example interfaces associated with offering and purchasing an insurance policy. A vehicle or a customer device (e.g., an on-board dash system, a smartphone, etc.) may be configured to display the interfaces and receive selections and inputs via the interfaces. For example, a dedicated application that is configured to operate on the vehicle or consumer device may display the interfaces. It should be appreciated that the interfaces are merely examples and that alternative or additional content is envisioned. -
FIG. 5A illustrates aninterface 540 that presents an insurance quote for review by a user of the vehicle/customer device. Theinterface 540 includes an indication of how the user performed on an acuity assessment (“YOUR ACUITY ASSESSMENT WENT WELL!”) and details various options for short-term vehicle insurance. According to embodiments, the insurance provider may determine the options for the short-term vehicle insurance based on the performance on the acuity assessment by the user. As illustrated inFIG. 5A , the vehicle insurance options include a mileage-based policy (50 miles of coverage for $15.00) and a time-based policy (2 hours of coverage for $12.00). - The
interface 540 enables the user to select one of the options for vehicle insurance (as shown: the mileage-based policy is selected). Theinterface 540 further includes a “purchase”selection 543, a “modify”selection 542, and a “reject”selection 541. If the user selects thepurchase selection 543, the vehicle/customer device may initiate a purchase transaction functionality that enables the user to purchase an insurance policy corresponding to the selected quote/option. The modifyselection 542 enables the user to select to modify the quote. In some embodiments, the user may select or request an alternate or additional coverage type, which may or may not require approval by the insurance provider and may or may not result in cost modifications. Thereject selection 541 enables the user to select to reject the policy, return to a previous screen, quit the application, or another similar functionality. -
FIG. 5B illustrates aninterface 545 indicating a success message, whereby the success message indicates that the insurance policy purchase was completed, and also indicates various terms of the insurance policy (as shown: 50 miles of coverage). Theinterface 545 also includes an “okay”selection 547 that, when selected, may dismiss theinterface 545 and/or perform other functionalities. - Referring to
FIG. 6 , depicted is a block diagram of an example insurancepolicy purchasing technique 600 that may be facilitated between the insurance provider 110 (and specifically the processing server 125) as depicted inFIG. 1 and a customer associated with a vehicle. The customer may access an electronic device (such as the electronic device 106) to perform an acuity assessment and facilitate the purchase of the insurance policy. - The insurance provider can receive (block 605), from the customer associated with the vehicle, a request for a vehicle insurance policy covering short-term usage of the vehicle. In some embodiments, the request may include a requested distance (e.g., 50 miles, 100 miles, etc.) that the customer desires to be covered by the insurance policy, as well as a current odometer reading of the vehicle. In other embodiments, the request may include a time duration (e.g., 30 minutes, 24 hours, etc.) during which the customer desires to be covered by the insurance policy. The insurance provider can identify a relevant acuity assessment and provide (block 610) the acuity assessment to the customer for completion by the customer. It should be appreciated that various acuity assessments are envisioned such as, for example, visual assessments, audio assessments, verbal assessments, physically interactive assessments, or other assessments.
- The insurance provider can receive (block 615), from the customer associated with the vehicle, acuity data resulting from the customer completing the acuity assessment. In embodiments, the acuity data may be raw or compiled data resulting from the customer performing and completing the acuity assessment. The insurance provider can examine (block 620) the acuity data to determine a performance by the customer. The performance may be designated as a numerical metric (e.g., a score, percentage, or the like) or a descriptive metric (e.g., “bad,” “fair,” “good,” etc.).
- The insurance provider can determine (block 625) whether to insure the customer based on the performance. In embodiments, the insurance provider may compare the performance to a predetermined threshold to determine if the performance meets or exceeds the predetermined threshold. If the insurance provider determines to not insure the customer (“NO”), processing can end or proceed to any other functionality. If the insurance provider determines to insure the customer (“YES”), processing can proceed to block 630 at which the insurance provider can generate a quote for the vehicle insurance policy based at least in part on the performance by the customer. It should be appreciated that the insurance provider may generate the quote based on other factors such as limits, deductibles, territories, type of vehicle, and/or others. Generally, the quote can indicate a policy rate and/or an amount of coverage that may be commensurate with the performance by the customer. In some cases, the insurance provider can modify a policy rate for a default short-term vehicle insurance policy based on the performance. In other cases, the insurance provider can modify an amount of coverage for a default short-term vehicle insurance policy based on the performance.
- The insurance provider can provide or communicate (block 635) the quote for the vehicle insurance policy to the customer. In particular, the insurance provider may interface with a vehicle- or customer-based device (e.g., via an application installed thereon) to present the quote. The customer may interact with the vehicle- or customer-based device to review the quote and select to purchase the vehicle insurance policy. In some embodiments, the customer may request a modification to the quote, such as an adjustment to a policy rate, an amount of coverage, and/or other parameters. The insurance provider may calculate or determine any modifications according to the modification request. In any event, if the customer selects to purchase the vehicle insurance policy, the insurance provider may receive (block 640) an acceptance of the quote from the customer. The insurance provider can facilitate (block 645) a purchase transaction with the customer for the insurance policy. In some embodiments, the purchase transaction may be facilitated via the vehicle- or customer-based device, or via other communication channels. Responsive to completing the purchase transaction, the insurance policy may be deemed active for the customer.
-
FIG. 7 illustrates a diagram of an example processing server 725 (such as theprocessing server 125 discussed with respect toFIG. 1 ) in which the functionalities as discussed herein may be implemented. It should be appreciated that theprocessing server 725 can be associated with an insurance provider, as discussed herein. - The
processing server 725 can include aprocessor 722 as well as amemory 778. Thememory 778 can store anoperating system 779 capable of facilitating the functionalities as discussed herein as well as a set of applications 775 (i.e., machine readable instructions). For example, one of the set ofapplications 775 can be apolicy processing application 784 configured to facilitate the offering and purchase of an insurance policy, and another of the set ofapplications 775 can be anacuity assessment application 790 configured to administer acuity assessments and process results from the acuity assessments. It should be appreciated that other applications are envisioned. - The
processor 722 can interface with thememory 778 to execute theoperating system 779 and the set ofapplications 775. According to embodiments, thememory 778 can also include adata record storage 780 that stores location and operating information associated with a plurality of vehicles. Thepolicy processing application 784 may interface with thedata record storage 780 to retrieve relevant information that thepolicy processing application 784 may use to generate insurance policies and terms associated therewith. Thememory 778 can include one or more forms of volatile and/or non-volatile, fixed and/or removable memory, such as read-only memory (ROM), electronic programmable read-only memory (EPROM), random access memory (RAM), erasable electronic programmable read-only memory (EEPROM), and/or other hard drives, flash memory, MicroSD cards, and others. - The
processing server 725 can further include acommunication module 777 configured to communicate data via one ormore networks 720. According to some embodiments, thecommunication module 777 can include one or more transceivers (e.g., WWAN, WLAN, and/or WPAN transceivers) functioning in accordance with IEEE standards, 3GPP standards, or other standards, and configured to receive and transmit data via one or moreexternal ports 776. For example, thecommunication module 777 can send, via thenetwork 720, acuity assessments and receive acuity data resulting from assessment performance. Theprocessing server 725 may further include auser interface 781 configured to present information to a user and/or receive inputs from the user. As shown inFIG. 7 , theuser interface 781 includes adisplay screen 782 and I/O components 783 (e.g., ports, capacitive or resistive touch sensitive input panels, keys, buttons, lights, LEDs, speakers, microphones). According to embodiments, the user may access theprocessing server 725 via theuser interface 781 to process insurance policies and/or perform other functions. In some embodiments, theprocessing server 725 can perform the functionalities as discussed herein as part of a “cloud” network or can otherwise communicate with other hardware or software components within the cloud to send, retrieve, or otherwise analyze data. - In general, a computer program product in accordance with an embodiment includes a computer usable storage medium (e.g., standard random access memory (RAM), an optical disc, a universal serial bus (USB) drive, or the like) having computer-readable program code embodied therein, wherein the computer-readable program code is adapted to be executed by the processor 722 (e.g., working in connection with the operating system 779) to facilitate the functions as described herein. In this regard, the program code may be implemented in any desired language, and may be implemented as machine code, assembly code, byte code, interpretable source code or the like (e.g., via C, C++, Java, Actionscript, Objective-C, Javascript, CSS, XML). In some embodiments, the computer program product may be part of a cloud network of resources.
- Throughout this specification, plural instances may implement components, operations, or structures described as a single instance. Although individual operations of one or more methods are illustrated and described as separate operations, one or more of the individual operations may be performed concurrently, and nothing requires that the operations be performed in the order illustrated. Structures and functionality presented as separate components in example configurations may be implemented as a combined structure or component. Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of the subject matter herein.
- Additionally, certain embodiments are described herein as including logic or a number of routines, subroutines, applications, or instructions. These may constitute either software (e.g., code embodied on a non-transitory, machine-readable medium) or hardware. In hardware, the routines, etc., are tangible units capable of performing certain operations and may be configured or arranged in a certain manner. In example embodiments, one or more computer systems (e.g., a standalone, client or server computer system) or one or more hardware modules of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware module that operates to perform certain operations as described herein.
- In various embodiments, a hardware module may be implemented mechanically or electronically. For example, a hardware module may comprise dedicated circuitry or logic that is permanently configured (e.g., as a special-purpose processor, such as a field programmable gate array (FPGA) or an application-specific integrated circuit (ASIC)) to perform certain operations. A hardware module may also comprise programmable logic or circuitry (e.g., as encompassed within a general-purpose processor or other programmable processor) that is temporarily configured by software to perform certain operations. It will be appreciated that the decision to implement a hardware module mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations.
- Accordingly, the term “hardware module” should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering embodiments in which hardware modules are temporarily configured (e.g., programmed), each of the hardware modules need not be configured or instantiated at any one instance in time. For example, where the hardware modules comprise a general-purpose processor configured using software, the general-purpose processor may be configured as respective different hardware modules at different times. Software may accordingly configure a processor, for example, to constitute a particular hardware module at one instance of time and to constitute a different hardware module at a different instance of time.
- Hardware modules can provide information to, and receive information from, other hardware modules. Accordingly, the described hardware modules may be regarded as being communicatively coupled. Where multiple of such hardware modules exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) that connect the hardware modules. In embodiments in which multiple hardware modules are configured or instantiated at different times, communications between such hardware modules may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware modules have access. For example, one hardware module may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware module may then, at a later time, access the memory device to retrieve and process the stored output. Hardware modules may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information).
- The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules that operate to perform one or more operations or functions. The modules referred to herein may, in some example embodiments, comprise processor-implemented modules.
- Similarly, the methods or routines described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented hardware modules. The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment or as a server farm), while in other embodiments the processors may be distributed across a number of locations.
- The performance of certain of the operations may be distributed among the one or more processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the one or more processors or processor-implemented modules may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the one or more processors or processor-implemented modules may be distributed across a number of geographic locations.
- Unless specifically stated otherwise, discussions herein using words such as “processing,” “computing,” “calculating,” “determining,” “presenting,” “displaying,” or the like may refer to actions or processes of a machine (e.g., a computer) that manipulates or transforms data represented as physical (e.g., electronic, magnetic, or optical) quantities within one or more memories (e.g., volatile memory, non-volatile memory, or a combination thereof), registers, or other machine components that receive, store, transmit, or display information.
- As used herein any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
- Some embodiments may be described using the expression “coupled” and “connected” along with their derivatives. For example, some embodiments may be described using the term “coupled” to indicate that two or more elements are in direct physical or electrical contact. The term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still cooperate or interact with each other. The embodiments are not limited in this context.
- As used herein, the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Further, unless expressly stated to the contrary, “or” refers to an inclusive or and not to an exclusive or. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present), A is false (or not present) and B is true (or present), and both A and B are true (or present).
- In addition, use of the “a” or “an” are employed to describe elements and components of the embodiments herein. This is done merely for convenience and to give a general sense of the description. This description, and the claims that follow, should be read to include one or at least one and the singular also includes the plural unless it is obvious that it is meant otherwise.
- This detailed description is to be construed as examples and does not describe every possible embodiment, as describing every possible embodiment would be impractical, if not impossible. One could implement numerous alternate embodiments, using either current technology or technology developed after the filing date of this application.
Claims (20)
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US15/639,016 Active US10373264B1 (en) | 2013-03-10 | 2017-06-30 | Vehicle image and sound data gathering for insurance rating purposes |
US15/674,067 Active US9865020B1 (en) | 2013-03-10 | 2017-08-10 | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
US15/824,311 Active US10387967B1 (en) | 2013-03-10 | 2017-11-28 | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
US15/966,070 Active 2035-01-29 US11315189B1 (en) | 2013-03-10 | 2018-04-30 | Dynamic auto insurance policy quote creation based on tracked user data |
US17/351,662 Active 2034-03-16 US11610270B2 (en) | 2013-03-10 | 2021-06-18 | Adjusting insurance policies based on common driving routes and other risk factors |
US17/701,829 Active US12002104B2 (en) | 2013-03-10 | 2022-03-23 | Dynamic auto insurance policy quote creation based on tracked user data |
US18/618,863 Pending US20240242291A1 (en) | 2013-03-10 | 2024-03-27 | Dynamic auto insurance policy quote creation based on tracked user data |
Family Applications Before (6)
Application Number | Title | Priority Date | Filing Date |
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US14/203,338 Active US9141996B2 (en) | 2013-03-10 | 2014-03-10 | Dynamic auto insurance policy quote creation based on tracked user data |
US14/203,356 Active US9208525B2 (en) | 2013-03-10 | 2014-03-10 | System and method for determining and monitoring auto insurance incentives |
US14/203,015 Active US9105066B2 (en) | 2013-03-10 | 2014-03-10 | Trip-based vehicle insurance |
US14/202,660 Abandoned US20140257865A1 (en) | 2013-03-10 | 2014-03-10 | Systems and methods for processing credits for distance-based insurance policies |
US14/203,143 Active 2035-07-22 US11068989B2 (en) | 2013-03-10 | 2014-03-10 | Adjusting insurance policies based on common driving routes and other risk factors |
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Application Number | Title | Priority Date | Filing Date |
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US14/202,812 Abandoned US20140257866A1 (en) | 2013-03-10 | 2014-03-10 | Systems and methods for processing additional distance units for distance-based insurance policies |
US14/203,344 Active 2034-03-24 US9734537B2 (en) | 2013-03-10 | 2014-03-10 | Vehicle image and sound data gathering for insurance rating purposes |
US14/203,210 Abandoned US20140257870A1 (en) | 2013-03-10 | 2014-03-10 | Determining Driving Patterns from On-Board Vehicle Sensor Data |
US14/314,822 Abandoned US20140310028A1 (en) | 2013-03-10 | 2014-06-25 | Systems and methods for analyzing vehicle operation data to facilitate insurance policy |
US14/788,998 Active 2035-03-25 US10719879B1 (en) | 2013-03-10 | 2015-07-01 | Trip-based vehicle insurance |
US14/795,369 Active 2034-03-14 US10013719B1 (en) | 2013-03-10 | 2015-07-09 | Dynamic auto insurance policy quote creation based on tracked user data |
US14/862,703 Active US9418383B1 (en) | 2013-03-10 | 2015-09-23 | System and method for determining and monitoring auto insurance incentives |
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US15/639,016 Active US10373264B1 (en) | 2013-03-10 | 2017-06-30 | Vehicle image and sound data gathering for insurance rating purposes |
US15/674,067 Active US9865020B1 (en) | 2013-03-10 | 2017-08-10 | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
US15/824,311 Active US10387967B1 (en) | 2013-03-10 | 2017-11-28 | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
US15/966,070 Active 2035-01-29 US11315189B1 (en) | 2013-03-10 | 2018-04-30 | Dynamic auto insurance policy quote creation based on tracked user data |
US17/351,662 Active 2034-03-16 US11610270B2 (en) | 2013-03-10 | 2021-06-18 | Adjusting insurance policies based on common driving routes and other risk factors |
US17/701,829 Active US12002104B2 (en) | 2013-03-10 | 2022-03-23 | Dynamic auto insurance policy quote creation based on tracked user data |
US18/618,863 Pending US20240242291A1 (en) | 2013-03-10 | 2024-03-27 | Dynamic auto insurance policy quote creation based on tracked user data |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9865020B1 (en) | 2013-03-10 | 2018-01-09 | State Farm Mutual Automobile Insurance Company | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
USRE49334E1 (en) | 2005-10-04 | 2022-12-13 | Hoffberg Family Trust 2 | Multifactorial optimization system and method |
US11769119B1 (en) * | 2015-04-15 | 2023-09-26 | Allstate Insurance Company | Autonomous car repair |
Families Citing this family (260)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10157422B2 (en) | 2007-05-10 | 2018-12-18 | Allstate Insurance Company | Road segment safety rating |
US9932033B2 (en) | 2007-05-10 | 2018-04-03 | Allstate Insurance Company | Route risk mitigation |
US8606512B1 (en) | 2007-05-10 | 2013-12-10 | Allstate Insurance Company | Route risk mitigation |
US10096038B2 (en) | 2007-05-10 | 2018-10-09 | Allstate Insurance Company | Road segment safety rating system |
CN101809581B (en) | 2007-09-24 | 2014-12-10 | 苹果公司 | Embedded Authentication Systems in Electronic Devices |
US8600120B2 (en) | 2008-01-03 | 2013-12-03 | Apple Inc. | Personal computing device control using face detection and recognition |
US11165963B2 (en) | 2011-06-05 | 2021-11-02 | Apple Inc. | Device, method, and graphical user interface for accessing an application in a locked device |
US9002322B2 (en) | 2011-09-29 | 2015-04-07 | Apple Inc. | Authentication with secondary approver |
US10360636B1 (en) | 2012-08-01 | 2019-07-23 | Allstate Insurance Company | System for capturing passenger and trip data for a taxi vehicle |
US20180285863A1 (en) * | 2012-08-16 | 2018-10-04 | Danny Loh | User generated autonomous digital token system |
US9081650B1 (en) | 2012-12-19 | 2015-07-14 | Allstate Insurance Company | Traffic based driving analysis |
US9104535B1 (en) * | 2012-12-19 | 2015-08-11 | Allstate Insurance Company | Traffic based driving analysis |
US9830662B1 (en) * | 2013-03-15 | 2017-11-28 | State Farm Mutual Automobile Insurance Company | Split sensing method |
GB2517126B (en) * | 2013-05-14 | 2015-05-20 | Y3K Europ Ltd | Driving event notification |
JP6179191B2 (en) * | 2013-05-27 | 2017-08-16 | 富士通株式会社 | Driving diagnosis device, driving diagnosis method and program |
US20160232616A1 (en) * | 2013-08-23 | 2016-08-11 | eBao Tech Corporation | Systems and Methods for Insurance Design Using Standard Insurance Contexts and Factors |
US8935036B1 (en) | 2013-09-06 | 2015-01-13 | State Farm Mutual Automobile Insurance Company | Systems and methods for updating a driving tip model using telematics data |
US9898642B2 (en) | 2013-09-09 | 2018-02-20 | Apple Inc. | Device, method, and graphical user interface for manipulating user interfaces based on fingerprint sensor inputs |
CN110687969B (en) | 2013-10-30 | 2023-05-02 | 苹果公司 | Displaying related user interface objects |
US11257162B1 (en) * | 2013-12-05 | 2022-02-22 | Allstate Insurance Company | Insurance based on driving data |
US10552911B1 (en) * | 2014-01-10 | 2020-02-04 | United Services Automobile Association (Usaa) | Determining status of building modifications using informatics sensor data |
US10592981B2 (en) * | 2014-01-17 | 2020-03-17 | Capital One Services, Llc | Systems and methods for exporting auto finance information |
US9355423B1 (en) | 2014-01-24 | 2016-05-31 | Allstate Insurance Company | Reward system related to a vehicle-to-vehicle communication system |
US10096067B1 (en) | 2014-01-24 | 2018-10-09 | Allstate Insurance Company | Reward system related to a vehicle-to-vehicle communication system |
US9390451B1 (en) | 2014-01-24 | 2016-07-12 | Allstate Insurance Company | Insurance system related to a vehicle-to-vehicle communication system |
US20150228129A1 (en) * | 2014-02-10 | 2015-08-13 | Metromile, Inc. | System and method for profiling vehicle usage |
US10796369B1 (en) | 2014-02-19 | 2020-10-06 | Allstate Insurance Company | Determining a property of an insurance policy based on the level of autonomy of a vehicle |
US10803525B1 (en) * | 2014-02-19 | 2020-10-13 | Allstate Insurance Company | Determining a property of an insurance policy based on the autonomous features of a vehicle |
US10783587B1 (en) | 2014-02-19 | 2020-09-22 | Allstate Insurance Company | Determining a driver score based on the driver's response to autonomous features of a vehicle |
US9940676B1 (en) | 2014-02-19 | 2018-04-10 | Allstate Insurance Company | Insurance system for analysis of autonomous driving |
US10783586B1 (en) * | 2014-02-19 | 2020-09-22 | Allstate Insurance Company | Determining a property of an insurance policy based on the density of vehicles |
US9892463B1 (en) | 2014-04-25 | 2018-02-13 | State Farm Mutual Automobile Insurance Company | System and methods for community-based cause of loss determination |
US10656280B2 (en) | 2014-05-13 | 2020-05-19 | Key Control Holding, Inc. | Vehicle monitoring systems and methods |
US10185999B1 (en) | 2014-05-20 | 2019-01-22 | State Farm Mutual Automobile Insurance Company | Autonomous feature use monitoring and telematics |
US11669090B2 (en) | 2014-05-20 | 2023-06-06 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation feature monitoring and evaluation of effectiveness |
US9972054B1 (en) | 2014-05-20 | 2018-05-15 | State Farm Mutual Automobile Insurance Company | Accident fault determination for autonomous vehicles |
US10319039B1 (en) | 2014-05-20 | 2019-06-11 | State Farm Mutual Automobile Insurance Company | Accident fault determination for autonomous vehicles |
US10026130B1 (en) | 2014-05-20 | 2018-07-17 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle collision risk assessment |
US10599155B1 (en) | 2014-05-20 | 2020-03-24 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation feature monitoring and evaluation of effectiveness |
US10373259B1 (en) | 2014-05-20 | 2019-08-06 | State Farm Mutual Automobile Insurance Company | Fully autonomous vehicle insurance pricing |
US9877088B2 (en) * | 2014-05-27 | 2018-01-23 | International Business Machines Corporation | Cooperative task execution in instrumented roadway systems |
US10043185B2 (en) * | 2014-05-29 | 2018-08-07 | Apple Inc. | User interface for payments |
US10664917B1 (en) | 2014-06-20 | 2020-05-26 | Allstate Insurance Company | Personalized insurance systems |
US10733471B1 (en) | 2014-06-27 | 2020-08-04 | Blinker, Inc. | Method and apparatus for receiving recall information from an image |
US9773184B1 (en) | 2014-06-27 | 2017-09-26 | Blinker, Inc. | Method and apparatus for receiving a broadcast radio service offer from an image |
US10572758B1 (en) | 2014-06-27 | 2020-02-25 | Blinker, Inc. | Method and apparatus for receiving a financing offer from an image |
US9892337B1 (en) | 2014-06-27 | 2018-02-13 | Blinker, Inc. | Method and apparatus for receiving a refinancing offer from an image |
US9589201B1 (en) | 2014-06-27 | 2017-03-07 | Blinker, Inc. | Method and apparatus for recovering a vehicle value from an image |
US10867327B1 (en) | 2014-06-27 | 2020-12-15 | Blinker, Inc. | System and method for electronic processing of vehicle transactions based on image detection of vehicle license plate |
US10540564B2 (en) | 2014-06-27 | 2020-01-21 | Blinker, Inc. | Method and apparatus for identifying vehicle information from an image |
US9563814B1 (en) | 2014-06-27 | 2017-02-07 | Blinker, Inc. | Method and apparatus for recovering a vehicle identification number from an image |
US9589202B1 (en) | 2014-06-27 | 2017-03-07 | Blinker, Inc. | Method and apparatus for receiving an insurance quote from an image |
US9558419B1 (en) | 2014-06-27 | 2017-01-31 | Blinker, Inc. | Method and apparatus for receiving a location of a vehicle service center from an image |
US10579892B1 (en) | 2014-06-27 | 2020-03-03 | Blinker, Inc. | Method and apparatus for recovering license plate information from an image |
US10515285B2 (en) | 2014-06-27 | 2019-12-24 | Blinker, Inc. | Method and apparatus for blocking information from an image |
US9779318B1 (en) | 2014-06-27 | 2017-10-03 | Blinker, Inc. | Method and apparatus for verifying vehicle ownership from an image |
US9760776B1 (en) | 2014-06-27 | 2017-09-12 | Blinker, Inc. | Method and apparatus for obtaining a vehicle history report from an image |
US9594971B1 (en) | 2014-06-27 | 2017-03-14 | Blinker, Inc. | Method and apparatus for receiving listings of similar vehicles from an image |
US9607236B1 (en) | 2014-06-27 | 2017-03-28 | Blinker, Inc. | Method and apparatus for providing loan verification from an image |
US9600733B1 (en) | 2014-06-27 | 2017-03-21 | Blinker, Inc. | Method and apparatus for receiving car parts data from an image |
US9818154B1 (en) * | 2014-06-27 | 2017-11-14 | Blinker, Inc. | System and method for electronic processing of vehicle transactions based on image detection of vehicle license plate |
US9754171B1 (en) | 2014-06-27 | 2017-09-05 | Blinker, Inc. | Method and apparatus for receiving vehicle information from an image and posting the vehicle information to a website |
US10832327B1 (en) | 2014-07-21 | 2020-11-10 | State Farm Mutual Automobile Insurance Company | Methods of providing insurance savings based upon telematics and driving behavior identification |
US9972184B2 (en) * | 2014-07-24 | 2018-05-15 | State Farm Mutual Automobile Insurance Company | Systems and methods for monitoring a vehicle operator and for monitoring an operating environment within the vehicle |
US9721305B2 (en) * | 2014-08-01 | 2017-08-01 | Mobile Data Labs, Inc. | Mobile device distance tracking |
US11062393B2 (en) * | 2014-08-11 | 2021-07-13 | American International Group, Inc. | Systems for evaluating exposure to insurance policies caused by catostrophic events |
US20160063640A1 (en) * | 2014-08-26 | 2016-03-03 | Martin Ellingsworth | Systems And Methods For Verification Of Vehicle Mileage Readings |
US10366456B2 (en) * | 2014-08-29 | 2019-07-30 | Guidewire Software, Inc. | Operational data corresponding to a product model |
US9812015B1 (en) | 2014-09-02 | 2017-11-07 | Metromile, Inc. | Systems and methods for determining parking information for a vehicle using vehicle data and external parking data |
US10140785B1 (en) | 2014-09-02 | 2018-11-27 | Metromile, Inc. | Systems and methods for determining fuel information of a vehicle |
US10066959B2 (en) | 2014-09-02 | 2018-09-04 | Apple Inc. | User interactions for a mapping application |
US10036639B1 (en) | 2014-09-02 | 2018-07-31 | Metromile, Inc. | Systems and methods for determining and displaying a route using information determined from a vehicle, user feedback, and a mobile electronic device |
US9846977B1 (en) * | 2014-09-02 | 2017-12-19 | Metromile, Inc. | Systems and methods for determining vehicle trip information |
US9373203B1 (en) | 2014-09-23 | 2016-06-21 | State Farm Mutual Automobile Insurance Company | Real-time driver monitoring and feedback reporting system |
US9056616B1 (en) * | 2014-09-23 | 2015-06-16 | State Farm Mutual Automobile Insurance | Student driver feedback system allowing entry of tagged events by instructors during driving tests |
US9984420B1 (en) * | 2014-10-06 | 2018-05-29 | Allstate Insurance Company | System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data |
US9973834B1 (en) * | 2014-10-06 | 2018-05-15 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a static environment such as in or around buildings or other structures |
US9955242B1 (en) * | 2014-10-06 | 2018-04-24 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a static environment such as in or around buildings or other structures |
US9996882B1 (en) * | 2014-10-06 | 2018-06-12 | Allstate Insurance Company | System and method for determining an insurance premium quote based on human telematic data and structure related telematic data |
US9984419B1 (en) * | 2014-10-06 | 2018-05-29 | Allstate Insurance Company | System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data |
US9984418B1 (en) * | 2014-10-06 | 2018-05-29 | Allstate Insurance Company | System and method for determining an insurance premium quote based on human telematic data and structure related telematic data |
US10210678B1 (en) * | 2014-10-06 | 2019-02-19 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle |
US10424024B1 (en) * | 2014-10-06 | 2019-09-24 | Allstate Insurance Company | System and method for determining an insurance premium based on analysis of human telematic data and vehicle telematic data |
US10127737B1 (en) * | 2014-10-06 | 2018-11-13 | Allstate Insurance Company | Communication system and method for using human telematic data to provide a hazard alarm/notification message to a user in a dynamic environment such as during operation of a vehicle |
US20250238764A1 (en) | 2014-10-07 | 2025-07-24 | State Farm Mutual Automobile Insurance Company | Systems and methods for facilitating device replacement within a connected property |
CA2960047C (en) * | 2014-10-08 | 2024-04-30 | Tsx Inc. | Selective delayed and undelayed database updating |
US10471964B2 (en) | 2014-10-10 | 2019-11-12 | Wpj Holdings, Inc. | System and method for collecting vehicle use and driving behavior data using a mobile communication device and bluetooth low energy (BLE) device |
US20210118249A1 (en) | 2014-11-13 | 2021-04-22 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle salvage and repair |
US9830665B1 (en) * | 2014-11-14 | 2017-11-28 | United Services Automobile Association | Telematics system, apparatus and method |
US20230162224A1 (en) * | 2014-11-17 | 2023-05-25 | Allstate Insurance Company | Rewards system maintenance |
US10515415B1 (en) | 2014-11-19 | 2019-12-24 | State Farm Mutual Automobile Insurance Company | Method and system for integrating online sales of consumer products with the sale of corresponding insurance |
EP3227877A4 (en) * | 2014-12-02 | 2018-09-12 | HERE Global B.V. | Method and apparatus for determining location-based vehicle behavior |
US10810675B2 (en) * | 2014-12-31 | 2020-10-20 | Esurance Insurance Services, Inc. | Providing transit alternatives based on monitored vehicle characteristics |
US10198772B2 (en) * | 2015-01-14 | 2019-02-05 | Tata Consultancy Services Limited | Driver assessment and recommendation system in a vehicle |
ES2740926T3 (en) | 2015-01-14 | 2020-02-07 | Tata Consultancy Services Ltd | System and method to estimate the speed of a vehicle |
US9361599B1 (en) | 2015-01-28 | 2016-06-07 | Allstate Insurance Company | Risk unit based policies |
US10817950B1 (en) | 2015-01-28 | 2020-10-27 | Arity International Limited | Usage-based policies |
US9390452B1 (en) | 2015-01-28 | 2016-07-12 | Allstate Insurance Company | Risk unit based policies |
US10846799B2 (en) | 2015-01-28 | 2020-11-24 | Arity International Limited | Interactive dashboard display |
EP3056706A1 (en) | 2015-02-16 | 2016-08-17 | Honeywell International Inc. | An approach for aftertreatment system modeling and model identification |
US11126978B1 (en) * | 2015-03-06 | 2021-09-21 | Wells Fargo Bank, N.A. | Status information for financial transactions |
US10810504B1 (en) | 2015-03-11 | 2020-10-20 | State Farm Mutual Automobile Insurance Company | Route scoring for assessing or predicting driving performance |
US10621671B1 (en) * | 2015-03-18 | 2020-04-14 | State Farm Mutual Automobile Insurance Company | Broadcasting vehicle and insurance information to mobile devices in the vicinity of a vehicle |
US9607509B2 (en) * | 2015-04-08 | 2017-03-28 | Sap Se | Identification of vehicle parking using data from vehicle sensor network |
US10402908B1 (en) * | 2015-04-20 | 2019-09-03 | Massachusetts Mutual Life Insurance Company | Computer method and system for creating a personalized bundle of computer records |
US10373523B1 (en) | 2015-04-29 | 2019-08-06 | State Farm Mutual Automobile Insurance Company | Driver organization and management for driver's education |
US9586591B1 (en) | 2015-05-04 | 2017-03-07 | State Farm Mutual Automobile Insurance Company | Real-time driver observation and progress monitoring |
US20160358133A1 (en) | 2015-06-05 | 2016-12-08 | Apple Inc. | User interface for loyalty accounts and private label accounts for a wearable device |
US9940637B2 (en) | 2015-06-05 | 2018-04-10 | Apple Inc. | User interface for loyalty accounts and private label accounts |
CA2988134C (en) * | 2015-06-08 | 2020-06-30 | Allstate Insurance Company | Route risk mitigation |
US9842437B2 (en) * | 2015-06-29 | 2017-12-12 | Allstate Insurance Company | Automatically identifying drivers |
US10330826B2 (en) * | 2015-07-23 | 2019-06-25 | Hartford Fire Insurance Company | System for sensor enabled reporting and notification in a distributed network |
US9888392B1 (en) | 2015-07-24 | 2018-02-06 | Allstate Insurance Company | Detecting handling of a device in a vehicle |
EP3125052B1 (en) | 2015-07-31 | 2020-09-02 | Garrett Transportation I Inc. | Quadratic program solver for mpc using variable ordering |
US9928353B2 (en) | 2015-08-03 | 2018-03-27 | International Business Machines Corporation | Vehicle authorization based on near field communication |
US10272779B2 (en) | 2015-08-05 | 2019-04-30 | Garrett Transportation I Inc. | System and approach for dynamic vehicle speed optimization |
US10853881B1 (en) | 2015-08-12 | 2020-12-01 | State Farm Mutual Automobile Insurance Company | Method and system for providing trip-based passenger insurance in autonomous vehicles |
US10755356B1 (en) * | 2015-08-12 | 2020-08-25 | State Farm Mutual Automobile Insurance Company | System and method for providing customers with rates from insurance providers for purchasing passenger insurance in an autonomous vehicle |
US10586219B2 (en) * | 2015-08-13 | 2020-03-10 | The Toronto-Dominion Bank | Automated implementation of provisioned services based on captured sensor data |
US10163350B1 (en) | 2015-08-28 | 2018-12-25 | State Farm Mutual Automobile Insurance Company | Vehicular driver warnings |
WO2017035811A1 (en) * | 2015-09-02 | 2017-03-09 | 郁佳敏 | Machine-vision-based electronic automobile insurance fee meter |
US11307042B2 (en) | 2015-09-24 | 2022-04-19 | Allstate Insurance Company | Three-dimensional risk maps |
US10346924B1 (en) * | 2015-10-13 | 2019-07-09 | State Farm Mutual Automobile Insurance Company | Systems and method for analyzing property related information |
US11037245B1 (en) * | 2015-10-15 | 2021-06-15 | Allstate Insurance Company | Generating insurance quotes |
US10733648B1 (en) * | 2015-10-23 | 2020-08-04 | State Farm Mutual Automobile Insurance Company | Vehicle safety information system |
US20230177616A1 (en) * | 2015-11-17 | 2023-06-08 | State Farm Mutual Automobile Insurance Company | System and computer-implemented method for using images to evaluate property damage claims and perform related actions |
US10630723B1 (en) | 2015-12-03 | 2020-04-21 | United Services Automobile Association (Usaa) | Determining policy characteristics based on route similarity |
SE539427C2 (en) * | 2015-12-15 | 2017-09-19 | Greater Than S A | Method and system for assessing the trip performance of a driver |
US10235076B2 (en) * | 2015-12-16 | 2019-03-19 | Accenture Global Solutions Limited | Data pipeline architecture for cloud processing of structured and unstructured data |
US9940834B1 (en) | 2016-01-22 | 2018-04-10 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle application |
US11719545B2 (en) | 2016-01-22 | 2023-08-08 | Hyundai Motor Company | Autonomous vehicle component damage and salvage assessment |
US10134278B1 (en) | 2016-01-22 | 2018-11-20 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle application |
US10324463B1 (en) | 2016-01-22 | 2019-06-18 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle operation adjustment based upon route |
US11441916B1 (en) | 2016-01-22 | 2022-09-13 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle trip routing |
US10395332B1 (en) | 2016-01-22 | 2019-08-27 | State Farm Mutual Automobile Insurance Company | Coordinated autonomous vehicle automatic area scanning |
US11242051B1 (en) | 2016-01-22 | 2022-02-08 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle action communications |
US10384678B1 (en) | 2016-01-22 | 2019-08-20 | State Farm Mutual Automobile Insurance Company | Autonomous vehicle action communications |
US9749470B1 (en) * | 2016-01-27 | 2017-08-29 | State Farm Mutual Automobile Insurance Company | Systems and methods for handling communications during user operation of a motor vehicle |
US9574888B1 (en) * | 2016-01-29 | 2017-02-21 | International Business Machines Corporation | Route generation based on contextual risk |
US10269075B2 (en) | 2016-02-02 | 2019-04-23 | Allstate Insurance Company | Subjective route risk mapping and mitigation |
US10528989B1 (en) | 2016-02-08 | 2020-01-07 | Allstate Insurance Company | Vehicle rating system |
US10789663B1 (en) | 2016-02-08 | 2020-09-29 | Allstate Insurance Company | Vehicle rating system |
US10529046B1 (en) | 2016-02-08 | 2020-01-07 | Allstate Insurance Company | Vehicle rating system |
US10672080B1 (en) * | 2016-02-12 | 2020-06-02 | State Farm Mutual Automobile Insurance Company | Systems and methods for enhanced personal property replacement |
US10699347B1 (en) | 2016-02-24 | 2020-06-30 | Allstate Insurance Company | Polynomial risk maps |
US11568492B2 (en) | 2016-03-29 | 2023-01-31 | Sony Corporation | Information processing apparatus, information processing method, program, and system |
US11851041B1 (en) * | 2016-04-11 | 2023-12-26 | State Farm Mutual Automobile Insurance Company | System for determining road slipperiness in bad weather conditions |
US10728249B2 (en) | 2016-04-26 | 2020-07-28 | Garrett Transporation I Inc. | Approach for securing a vehicle access port |
US10124750B2 (en) | 2016-04-26 | 2018-11-13 | Honeywell International Inc. | Vehicle security module system |
US10036338B2 (en) | 2016-04-26 | 2018-07-31 | Honeywell International Inc. | Condition-based powertrain control system |
DK179186B1 (en) | 2016-05-19 | 2018-01-15 | Apple Inc | REMOTE AUTHORIZATION TO CONTINUE WITH AN ACTION |
CN109313759B (en) | 2016-06-11 | 2022-04-26 | 苹果公司 | User interface for transactions |
US10621581B2 (en) | 2016-06-11 | 2020-04-14 | Apple Inc. | User interface for transactions |
DK201670622A1 (en) | 2016-06-12 | 2018-02-12 | Apple Inc | User interfaces for transactions |
US11783421B2 (en) | 2016-06-16 | 2023-10-10 | Allstate Insurance Company | Traveling-based insurance ratings |
US9983013B1 (en) * | 2016-07-08 | 2018-05-29 | Allstate Insurance Company | Automated vehicle control and guidance based on real-time blind corner navigational analysis |
US20180018833A1 (en) * | 2016-07-18 | 2018-01-18 | Ford Global Technologies, Llc | Vehicle Database Storage And Retrieval Methods And Systems |
US11042938B1 (en) | 2016-08-08 | 2021-06-22 | Allstate Insurance Company | Driver identity detection and alerts |
WO2018037900A1 (en) | 2016-08-22 | 2018-03-01 | ソニー株式会社 | Driving support device, method, mobile body, and program |
US10410291B1 (en) | 2016-09-02 | 2019-09-10 | State Farm Mutual Automobile Insurance Company | Systems and methods for analyzing unmanned aerial missions |
US20180068313A1 (en) | 2016-09-06 | 2018-03-08 | Apple Inc. | User interfaces for stored-value accounts |
WO2018046102A1 (en) | 2016-09-10 | 2018-03-15 | Swiss Reinsurance Company Ltd. | Automated, telematics-based system with score-driven triggering and operation of automated sharing economy risk-transfer systems and corresponding method thereof |
US10650621B1 (en) | 2016-09-13 | 2020-05-12 | Iocurrents, Inc. | Interfacing with a vehicular controller area network |
DK179471B1 (en) | 2016-09-23 | 2018-11-26 | Apple Inc. | Image data for enhanced user interactions |
CN106357657B (en) * | 2016-09-29 | 2020-02-21 | 恒大智慧科技有限公司 | Signing and issuing user management method and device |
US10498827B2 (en) * | 2016-09-30 | 2019-12-03 | The Toronto-Dominion Bank | Automated implementation of provisioned services based on captured sensor data |
US10264111B2 (en) | 2016-10-04 | 2019-04-16 | Allstate Solutions Private Limited | Mobile device communication access and hands-free device activation |
US9979813B2 (en) | 2016-10-04 | 2018-05-22 | Allstate Solutions Private Limited | Mobile device communication access and hands-free device activation |
US11295218B2 (en) | 2016-10-17 | 2022-04-05 | Allstate Solutions Private Limited | Partitioning sensor based data to generate driving pattern map |
US10496808B2 (en) | 2016-10-25 | 2019-12-03 | Apple Inc. | User interface for managing access to credentials for use in an operation |
US11037177B1 (en) | 2016-10-28 | 2021-06-15 | State Farm Mutual Automobile Insurance Company | Vehicle component identification using driver profiles |
US10970786B1 (en) * | 2016-11-17 | 2021-04-06 | United Services Automobile Association (Usaa) | Recommendation engine for cost of a claim |
KR101822308B1 (en) * | 2016-11-23 | 2018-01-25 | 현대자동차주식회사 | Controlling method and system for service of vehicle |
EP3548729B1 (en) | 2016-11-29 | 2023-02-22 | Garrett Transportation I Inc. | An inferential flow sensor |
US9947052B1 (en) | 2016-12-20 | 2018-04-17 | Allstate Insurance Company | Controlling autonomous vehicles to optimize traffic characteristics |
US20180170392A1 (en) * | 2016-12-20 | 2018-06-21 | Baidu Usa Llc | Method and System to Recognize Individual Driving Preference for Autonomous Vehicles |
CN106781437A (en) * | 2016-12-22 | 2017-05-31 | 安徽保腾网络科技有限公司 | For the reparation strategy determination method of fender-bender |
US10152641B2 (en) * | 2017-01-20 | 2018-12-11 | Jack Cooper Logistics, LLC | Artificial intelligence based vehicle dashboard analysis |
US10149116B1 (en) | 2017-01-27 | 2018-12-04 | Allstate Insurance Company | Early notification of driving status to a mobile device |
US10118628B2 (en) * | 2017-02-21 | 2018-11-06 | Allstate Insurance Company | Data processing system for guidance, control, and testing autonomous vehicle features and driver response |
US10621860B2 (en) * | 2017-03-02 | 2020-04-14 | Veniam, Inc. | Systems and methods for characterizing and managing driving behavior in the context of a network of moving things, including for use in autonomous vehicles |
US20180268489A1 (en) * | 2017-03-17 | 2018-09-20 | Service First Insurance Group LLC | System and methods for risk management optimization |
US11030710B2 (en) * | 2017-03-24 | 2021-06-08 | Kolapo Malik Akande | System and method for ridesharing |
US10733311B2 (en) | 2017-03-29 | 2020-08-04 | International Business Machines Corporation | Cognitive internet of things (IoT) gateways for data security and privacy protection in real-time context-based data applications |
US10805068B1 (en) | 2017-04-05 | 2020-10-13 | State Farm Mutual Automobile Insurance Company | Systems and methods for feature-based rating via blockchain |
US11087267B1 (en) | 2017-04-12 | 2021-08-10 | Wells Fargo Bank, N.A. | Configurable vehicle |
US10633001B2 (en) | 2017-06-05 | 2020-04-28 | Allstate Insurance Company | Vehicle telematics based driving assessment |
TWI663084B (en) * | 2017-08-22 | 2019-06-21 | 力巨人有限公司 | Business method of combining vehicle electronic anti-theft system with insurance business |
US11861566B1 (en) | 2017-08-24 | 2024-01-02 | State Farm Mutual Automobile Insurance Company | Vehicle telematics systems and methods |
US11176461B1 (en) | 2017-08-29 | 2021-11-16 | Massachusetts Mutual Life Insurance Company | System and method for managing routing of customer calls to agents |
US10257355B1 (en) | 2017-08-29 | 2019-04-09 | Massachusetts Mutual Life Insurance Company | System and method for managing customer call-backs |
CN107688645B (en) * | 2017-08-30 | 2020-04-10 | 平安科技(深圳)有限公司 | Policy data processing method and terminal equipment |
WO2019048034A1 (en) * | 2017-09-06 | 2019-03-14 | Swiss Reinsurance Company Ltd. | Electronic logging and track identification system for mobile telematics devices, and corresponding method thereof |
EP4155988A1 (en) | 2017-09-09 | 2023-03-29 | Apple Inc. | Implementation of biometric authentication for performing a respective function |
KR102185854B1 (en) | 2017-09-09 | 2020-12-02 | 애플 인크. | Implementation of biometric authentication |
US11057213B2 (en) | 2017-10-13 | 2021-07-06 | Garrett Transportation I, Inc. | Authentication system for electronic control unit on a bus |
US11334951B1 (en) | 2017-10-27 | 2022-05-17 | Wells Fargo Bank, N.A. | Trip-segment payments for vehicle insurance |
US20190197568A1 (en) * | 2017-12-21 | 2019-06-27 | International Business Machines Corporation | Segmentation via weather susceptibility scoring |
JP7128434B2 (en) * | 2018-02-08 | 2022-08-31 | トヨタ自動車株式会社 | Privilege selection device, privilege selection method, and information terminal |
US11562436B2 (en) * | 2018-02-08 | 2023-01-24 | The Travelers Indemnity Company | Systems and methods for automated accident analysis |
US20210081698A1 (en) * | 2018-02-09 | 2021-03-18 | Nano Techgalaxy, Inc. D/B/A Galaxy.Ai | Systems and methods for physical object analysis |
KR102496654B1 (en) * | 2018-02-21 | 2023-02-07 | 현대자동차주식회사 | Apparatus and method for controlling driving mode change of vehicle, vehicle system |
JP6524568B1 (en) * | 2018-03-23 | 2019-06-05 | パナソニックIpマネジメント株式会社 | Driving support device |
US11763268B2 (en) * | 2018-03-28 | 2023-09-19 | Munic | Method and system to improve driver information and vehicle maintenance |
US10825318B1 (en) | 2018-04-09 | 2020-11-03 | State Farm Mutual Automobile Insurance Company | Sensing peripheral heuristic evidence, reinforcement, and engagement system |
US11346680B2 (en) | 2018-05-09 | 2022-05-31 | International Business Machines Corporation | Driver experience-based vehicle routing and insurance adjustment |
CN109522400B (en) * | 2018-05-28 | 2023-07-07 | 深圳平安医疗健康科技服务有限公司 | Nuclear protection method, device, computer equipment and storage medium |
US11170085B2 (en) | 2018-06-03 | 2021-11-09 | Apple Inc. | Implementation of biometric authentication |
US20190370364A1 (en) * | 2018-06-05 | 2019-12-05 | Peter J. Casatelli | Processing system to facilitate update of existing electronic record information |
WO2020036826A1 (en) * | 2018-08-11 | 2020-02-20 | Barish Phillip H | Systems and methods for collecting, aggregating and reporting insurance claims data |
US11348134B2 (en) | 2018-09-28 | 2022-05-31 | Allstate Insurance Company | Data processing system with machine learning engine to provide output generation functions |
US11100349B2 (en) | 2018-09-28 | 2021-08-24 | Apple Inc. | Audio assisted enrollment |
US10860096B2 (en) | 2018-09-28 | 2020-12-08 | Apple Inc. | Device control using gaze information |
US11182860B2 (en) | 2018-10-05 | 2021-11-23 | The Toronto-Dominion Bank | System and method for providing photo-based estimation |
US12014424B2 (en) | 2018-10-09 | 2024-06-18 | SafeAI, Inc. | Autonomous vehicle premium computation using predictive models |
US11348181B1 (en) * | 2018-10-31 | 2022-05-31 | United Services Automobile Association (Usaa) | Method and system for assessing driving risks by detecting driving routines |
US10847027B1 (en) | 2018-10-31 | 2020-11-24 | United Services Automobile Association (Usaa) | Method and system for detecting use of garage |
US10668930B1 (en) * | 2019-02-04 | 2020-06-02 | State Farm Mutual Automobile Insurance Company | Determining acceptable driving behavior based on vehicle specific characteristics |
US12008667B1 (en) | 2019-02-07 | 2024-06-11 | State Farm Mutual Automobile Insurance Company | Systems and methods for detecting building events and trends |
US11328352B2 (en) | 2019-03-24 | 2022-05-10 | Apple Inc. | User interfaces for managing an account |
CN111369799B (en) * | 2019-05-20 | 2021-11-23 | 杭州海康威视系统技术有限公司 | Method, device and system for detecting modified vehicle |
US11477609B2 (en) | 2019-06-01 | 2022-10-18 | Apple Inc. | User interfaces for location-related communications |
US11481094B2 (en) | 2019-06-01 | 2022-10-25 | Apple Inc. | User interfaces for location-related communications |
US10692383B1 (en) * | 2019-06-05 | 2020-06-23 | Nanning Fugui Precision Industrial Co., Ltd. | Method for locating vehicle and electronic device employing the method |
US11227490B2 (en) | 2019-06-18 | 2022-01-18 | Toyota Motor North America, Inc. | Identifying changes in the condition of a transport |
US20200402149A1 (en) | 2019-06-18 | 2020-12-24 | Toyota Motor North America, Inc. | Identifying changes in the condition of a transport |
IT201900010122A1 (en) | 2019-06-26 | 2020-12-26 | Gbsapri S P A | REMOTE PERSONALIZED INSURANCE ASSISTANCE SYSTEM AND METHOD |
US12002305B1 (en) * | 2019-08-28 | 2024-06-04 | State Farm Mutual Automobile Insurance Company | Systems and methods for generating improved vehicle usage analytics based upon vehicle sensor and telematics data |
US11494847B2 (en) | 2019-08-29 | 2022-11-08 | Toyota Motor North America, Inc. | Analysis of transport damage |
US20210065469A1 (en) | 2019-08-29 | 2021-03-04 | Toyota Motor North America, Inc. | Analysis of transport damage |
CN114365073A (en) | 2019-09-29 | 2022-04-15 | 苹果公司 | Account management user interface |
US11169830B2 (en) | 2019-09-29 | 2021-11-09 | Apple Inc. | Account management user interfaces |
US11055924B2 (en) | 2019-09-30 | 2021-07-06 | The Toronto-Dominion Bank | System and method for accessing and providing vehicle information in augmented reality |
WO2021079329A1 (en) * | 2019-10-24 | 2021-04-29 | 50Fifty Luxury Car Insurance (Pty) Ltd | Vehicle usage |
US10880691B1 (en) * | 2019-10-31 | 2020-12-29 | Root, Inc. | Passively capturing and monitoring device behaviors |
CN111062701B (en) * | 2019-12-18 | 2024-07-23 | 博泰车联网科技(上海)股份有限公司 | Insurance management method and related device |
KR102770842B1 (en) * | 2019-12-18 | 2025-02-24 | 엘지전자 주식회사 | Portable apparatus for providing notification |
US11615650B2 (en) * | 2020-02-12 | 2023-03-28 | Electronic Transaction Consultants, Llc | Tolling system using both fully and limited equipped detection systems |
US11631290B2 (en) * | 2020-02-12 | 2023-04-18 | Electronic Transaction Consultants, Llc | Path detection for tolling system using vehicle identifier correlation |
US11276501B1 (en) | 2020-02-24 | 2022-03-15 | BlueOwl, LLC | Systems and methods for determining a risk score using machine learning based at least in part upon collected sensor data |
DK180985B1 (en) | 2020-04-10 | 2022-09-02 | Apple Inc | User interfaces for enabling an activity |
US11644326B2 (en) * | 2020-04-13 | 2023-05-09 | Allstate Insurance Company | Machine learning platform for dynamic device and sensor quality evaluation |
US11657458B2 (en) | 2020-06-10 | 2023-05-23 | Allstate Insurance Company | Data processing system for secure data sharing and customized output generation |
US11816194B2 (en) | 2020-06-21 | 2023-11-14 | Apple Inc. | User interfaces for managing secure operations |
US20220046380A1 (en) * | 2020-08-10 | 2022-02-10 | Wejo Ltd. | System and method for processing vehicle event data for journey analysis |
TR202018682A2 (en) * | 2020-11-20 | 2021-03-22 | Tuerkiye Garanti Bankasi Anonim Sirketi | A TRAFFIC INSURANCE RISK DETECTION SYSTEM |
KR102493306B1 (en) * | 2020-12-16 | 2023-01-31 | 여태환 | Apparatus and method for performing driver-specific start control and driving information generation for a motorcycle based on biometrics |
EP4264460A1 (en) | 2021-01-25 | 2023-10-25 | Apple Inc. | Implementation of biometric authentication |
US12210603B2 (en) | 2021-03-04 | 2025-01-28 | Apple Inc. | User interface for enrolling a biometric feature |
US12182831B2 (en) * | 2021-04-29 | 2024-12-31 | Quanata, Llc | Systems and methods for adjusting a dynamic discount |
US11820387B2 (en) * | 2021-05-10 | 2023-11-21 | Qualcomm Incorporated | Detecting driving behavior of vehicles |
US12216754B2 (en) | 2021-05-10 | 2025-02-04 | Apple Inc. | User interfaces for authenticating to perform secure operations |
WO2022260657A1 (en) * | 2021-06-08 | 2022-12-15 | Templer Lisa | Boat sharing system |
US20230060261A1 (en) * | 2021-09-01 | 2023-03-02 | State Farm Mutual Automobile Insurance Company | High Efficiency Isolation of Intersection and Road Crossings for Driving Analytics |
CN114841818B (en) * | 2022-04-18 | 2023-06-16 | 北京交通大学 | Customized car insurance bidding privacy protection method based on cross-chain technology |
US20230334866A1 (en) * | 2022-04-19 | 2023-10-19 | Tractable Ltd | Remote Vehicle Inspection |
US12094333B2 (en) * | 2023-02-16 | 2024-09-17 | Robert Cox | Short range intervehicle communication assembly |
US20240312228A1 (en) * | 2023-03-16 | 2024-09-19 | Ford Global Technologies, Llc | Selective privacy mode operation for in-cabin monitoring |
US20240377211A1 (en) * | 2023-05-10 | 2024-11-14 | State Farm Mutual Automobile Insurance Company | Automated route generation and frictionless engagement systems and methods |
WO2025107063A1 (en) * | 2023-11-20 | 2025-05-30 | Intact Financial Corporation | System and method for detection of sound in usage based insurance |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070299700A1 (en) * | 2004-10-29 | 2007-12-27 | Milemeter, Inc. | System and Method for Assessing Earned Premium for Distance-Based Vehicle Insurance |
US20090094066A1 (en) * | 2007-10-03 | 2009-04-09 | Quotepro, Inc. | Methods and Systems for Providing Vehicle Insurance |
US7542915B2 (en) * | 2003-09-30 | 2009-06-02 | The Boeing Company | System of charging for automobile insurance |
US8016416B1 (en) * | 2005-01-15 | 2011-09-13 | Sandy Helene Straus | Automatic system and methods for measuring and evaluating at least one of mass vision, cognition, knowledge, operation skills, and the like |
US20120112879A1 (en) * | 2010-11-09 | 2012-05-10 | Ekchian Caroline M | Apparatus and method for improved vehicle safety |
US20120271661A1 (en) * | 2009-11-23 | 2012-10-25 | Hartford Fire Insurance Company | System and method for processing data related to life insurance policies issued prior to underwriting |
US20130189660A1 (en) * | 2012-01-20 | 2013-07-25 | Mark Mangum | Methods and systems for assessing and developing the mental acuity and behavior of a person |
Family Cites Families (254)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4303904A (en) * | 1979-10-12 | 1981-12-01 | Chasek Norman E | Universally applicable, in-motion and automatic toll paying system using microwaves |
US7415126B2 (en) * | 1992-05-05 | 2008-08-19 | Automotive Technologies International Inc. | Occupant sensing system |
US5310999A (en) * | 1992-07-02 | 1994-05-10 | At&T Bell Laboratories | Secure toll collection system for moving vehicles |
US5319611A (en) * | 1993-03-31 | 1994-06-07 | National Research Council Of Canada | Method of determining range data in a time-of-flight ranging system |
US5550551A (en) * | 1994-07-25 | 1996-08-27 | At&T Corp. | Position monitoring system and method |
US5499182A (en) * | 1994-12-07 | 1996-03-12 | Ousborne; Jeffrey | Vehicle driver performance monitoring system |
US7650210B2 (en) * | 1995-06-07 | 2010-01-19 | Automotive Technologies International, Inc. | Remote vehicle diagnostic management |
US7630802B2 (en) * | 1995-06-07 | 2009-12-08 | Automotive Technologies International, Inc. | Information management and monitoring system and method |
US5819230A (en) * | 1995-08-08 | 1998-10-06 | Homevest Financial Group, Inc. | System and method for tracking and funding asset purchase and insurance policy |
US5797134A (en) * | 1996-01-29 | 1998-08-18 | Progressive Casualty Insurance Company | Motor vehicle monitoring system for determining a cost of insurance |
US6868386B1 (en) | 1996-01-29 | 2005-03-15 | Progressive Casualty Insurance Company | Monitoring system for determining and communicating a cost of insurance |
US8140358B1 (en) | 1996-01-29 | 2012-03-20 | Progressive Casualty Insurance Company | Vehicle monitoring system |
US8090598B2 (en) | 1996-01-29 | 2012-01-03 | Progressive Casualty Insurance Company | Monitoring system for determining and communicating a cost of insurance |
US6400835B1 (en) * | 1996-05-15 | 2002-06-04 | Jerome H. Lemelson | Taillight mounted vehicle security system employing facial recognition using a reflected image |
US5916287A (en) * | 1996-09-30 | 1999-06-29 | Hewlett-Packard Company | Modular automotive diagnostic, test and information system |
US7870010B2 (en) | 1997-07-31 | 2011-01-11 | Raymond Anthony Joao | Apparatus and method for processing lease insurance information |
US7236950B2 (en) * | 1998-10-29 | 2007-06-26 | Universal Card Services Corp. | Method and system of combined billing of multiple accounts on a single statement |
US6313791B1 (en) * | 1999-05-27 | 2001-11-06 | Michael Dean Klanke | Automotive GPS control system |
US6434510B1 (en) * | 1999-07-21 | 2002-08-13 | Terry S. Callaghan | Vehicle accessory for monitoring travel distance |
JP2001076012A (en) * | 1999-08-31 | 2001-03-23 | Hitachi Ltd | Vehicle information collection method and device |
US7467034B2 (en) * | 2002-11-04 | 2008-12-16 | Automotive Technologies International, Inc. | Tire monitoring techniques |
AU2407301A (en) * | 1999-12-23 | 2001-07-24 | Car Point Korea Co. Ltd. | Method and system for processing automobile insurance of a prepaid type according to driving distance and time of vehicle |
US6408232B1 (en) * | 2000-04-18 | 2002-06-18 | Agere Systems Guardian Corp. | Wireless piconet access to vehicle operational statistics |
US7343306B1 (en) * | 2000-04-20 | 2008-03-11 | International Business Machines Corporation | Location-based vehicle risk assessment system |
US7343310B1 (en) * | 2000-04-28 | 2008-03-11 | Travelers Property Casualty Corp. | System and method for providing web-based user interface to legacy, personal-lines insurance applications |
US20020111725A1 (en) * | 2000-07-17 | 2002-08-15 | Burge John R. | Method and apparatus for risk-related use of vehicle communication system data |
US7941258B1 (en) * | 2000-08-31 | 2011-05-10 | Strategic Design Federation W, Inc. | Automobile monitoring for operation analysis |
US7584033B2 (en) * | 2000-08-31 | 2009-09-01 | Strategic Design Federation W. Inc. | Automobile monitoring for operation analysis |
US7860764B1 (en) * | 2000-10-19 | 2010-12-28 | Blaise Alexander | Method and system for leasing motor vehicles to credit challenged consumers |
US7028009B2 (en) * | 2001-01-17 | 2006-04-11 | Contentguardiholdings, Inc. | Method and apparatus for distributing enforceable property rights |
US20020128985A1 (en) * | 2001-03-09 | 2002-09-12 | Brad Greenwald | Vehicle value appraisal system |
US7752326B2 (en) * | 2001-08-20 | 2010-07-06 | Masterobjects, Inc. | System and method for utilizing asynchronous client server communication objects |
US7725348B1 (en) * | 2001-10-17 | 2010-05-25 | United Toll Systems, Inc. | Multilane vehicle information capture system |
US6718235B1 (en) * | 2001-11-19 | 2004-04-06 | Volvo Trucks North America, Inc. | Route control system |
US6617707B1 (en) * | 2001-11-30 | 2003-09-09 | Scott A. Reece | Driver identification system |
US6741168B2 (en) * | 2001-12-13 | 2004-05-25 | Samsung Electronics Co., Ltd. | Method and apparatus for automated collection and transfer of collision information |
US7107285B2 (en) * | 2002-03-16 | 2006-09-12 | Questerra Corporation | Method, system, and program for an improved enterprise spatial system |
JP4416374B2 (en) * | 2002-03-26 | 2010-02-17 | 富士通株式会社 | Insurance premium setting method, insurance premium setting program, and insurance premium setting device |
JP2003323555A (en) * | 2002-04-30 | 2003-11-14 | Hewlett Packard Japan Ltd | Method and system for information distribution |
US6885312B1 (en) * | 2002-05-28 | 2005-04-26 | Bellsouth Intellectual Property Corporation | Method and system for mapping vehicle parking |
JP2004029872A (en) * | 2002-06-21 | 2004-01-29 | Hitachi Ltd | Premium calculation system |
KR20040017465A (en) * | 2002-08-21 | 2004-02-27 | 주식회사 텔사인 | Method and system of calculating a car insurance value using a smartcard |
JP3699434B2 (en) * | 2002-10-03 | 2005-09-28 | 三菱電機株式会社 | Vehicle anti-theft device |
US6832141B2 (en) * | 2002-10-25 | 2004-12-14 | Davis Instruments | Module for monitoring vehicle operation through onboard diagnostic port |
US7023328B2 (en) * | 2002-10-28 | 2006-04-04 | Matsushita Electric Industrial Co., Ltd. | Automobile insurance warning system |
US20040102984A1 (en) * | 2002-11-27 | 2004-05-27 | Stefan Wahlbin | Computerized method and system for estimating liability using recorded vehicle data |
US20040107042A1 (en) * | 2002-12-03 | 2004-06-03 | Seick Ryan E. | Road hazard data collection system and method |
JP4578795B2 (en) * | 2003-03-26 | 2010-11-10 | 富士通テン株式会社 | Vehicle control device, vehicle control method, and vehicle control program |
US6931309B2 (en) * | 2003-05-06 | 2005-08-16 | Innosurance, Inc. | Motor vehicle operating data collection and analysis |
US7821421B2 (en) * | 2003-07-07 | 2010-10-26 | Sensomatix Ltd. | Traffic information system |
US7161466B2 (en) * | 2003-07-30 | 2007-01-09 | Lear Corporation | Remote control automatic appliance activation |
JP2005096744A (en) * | 2003-09-01 | 2005-04-14 | Matsushita Electric Ind Co Ltd | Crew authentication device |
US9311676B2 (en) * | 2003-09-04 | 2016-04-12 | Hartford Fire Insurance Company | Systems and methods for analyzing sensor data |
US7450928B1 (en) * | 2004-01-09 | 2008-11-11 | At&T Mobility Ii Llc | Methods for providing overdraft protection for post-paid communication service plans |
US20050174217A1 (en) * | 2004-01-29 | 2005-08-11 | Basir Otman A. | Recording and reporting of driving characteristics |
US7895054B2 (en) * | 2004-05-06 | 2011-02-22 | Humana Inc. | Pharmacy personal care account |
US20050283388A1 (en) * | 2004-06-17 | 2005-12-22 | Eberwine David B | System and method for automotive liability insurance verification |
DE102005042081B4 (en) * | 2004-09-06 | 2013-12-19 | Denso Corporation | Anti-theft system for vehicles |
US20060053038A1 (en) * | 2004-09-08 | 2006-03-09 | Warren Gregory S | Calculation of driver score based on vehicle operation |
US8271299B2 (en) * | 2004-09-10 | 2012-09-18 | Davidson S Kenneth | Return-of-premium insurance system and method |
US7519362B2 (en) | 2004-09-13 | 2009-04-14 | Laperch Richard C | Personal wireless gateway and method for implementing the same |
US7889931B2 (en) * | 2004-10-22 | 2011-02-15 | Gb Investments, Inc. | Systems and methods for automated vehicle image acquisition, analysis, and reporting |
US7865378B2 (en) * | 2004-10-29 | 2011-01-04 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
US7991629B2 (en) * | 2004-10-29 | 2011-08-02 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
US7987103B2 (en) * | 2004-10-29 | 2011-07-26 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
US7890355B2 (en) * | 2004-10-29 | 2011-02-15 | Milemeter, Inc. | System and method for the assessment, pricing, and provisioning of distance-based vehicle insurance |
US9875508B1 (en) * | 2004-11-19 | 2018-01-23 | Allstate Insurance Company | Systems and methods for customizing insurance |
US7908080B2 (en) | 2004-12-31 | 2011-03-15 | Google Inc. | Transportation routing |
US7937278B1 (en) * | 2005-01-18 | 2011-05-03 | Allstate Insurance Company | Usage-based insurance cost determination system and method |
US20060206415A1 (en) * | 2005-03-08 | 2006-09-14 | Mark Ross | Method for facilitating the acquisition of a life insurance policy |
JP2006252138A (en) * | 2005-03-10 | 2006-09-21 | Omron Corp | Apparatus for photographing driver and apparatus for monitoring driver |
US20060247852A1 (en) | 2005-04-29 | 2006-11-02 | Kortge James M | System and method for providing safety-optimized navigation route planning |
US20070005404A1 (en) * | 2005-06-09 | 2007-01-04 | Drive Diagnostics Ltd. | System and method for providing driving insurance |
EP1741591B1 (en) * | 2005-07-06 | 2009-10-14 | Ford Global Technologies, LLC | Method for predicting driving situations in a vehicle |
WO2007008159A2 (en) * | 2005-07-11 | 2007-01-18 | Volvo Technology Corporation | Method for performing driver identity verification |
US20070046425A1 (en) * | 2005-08-25 | 2007-03-01 | Booth Irene F | Car security device |
US8874477B2 (en) * | 2005-10-04 | 2014-10-28 | Steven Mark Hoffberg | Multifactorial optimization system and method |
US20070124045A1 (en) * | 2005-11-29 | 2007-05-31 | Ayoub Ramy P | System and method for controlling the processing of content based on zones in vehicles |
US7571128B1 (en) * | 2006-01-26 | 2009-08-04 | Ford Motor Company | Multi-vehicle incentive program |
US8549318B2 (en) * | 2006-02-13 | 2013-10-01 | Affirmed Technologies, Llc | Method and system for preventing unauthorized use of a vehicle by an operator of the vehicle |
AU2007215469A1 (en) * | 2006-02-13 | 2007-08-23 | All Protect Llc | Method and system for controlling a vehicle given to a third party |
GB0605069D0 (en) * | 2006-03-14 | 2006-04-26 | Airmax Group Plc | Method and system for driver style monitoring and analysing |
US20070226014A1 (en) * | 2006-03-22 | 2007-09-27 | Bisrat Alemayehu | System and method of classifying vehicle insurance applicants |
US20080106390A1 (en) * | 2006-04-05 | 2008-05-08 | White Steven C | Vehicle power inhibiter |
US20070256499A1 (en) * | 2006-04-21 | 2007-11-08 | Pelecanos Jason W | Machine and operating environment diagnostics, detection and profiling using sound |
US20070268158A1 (en) * | 2006-05-09 | 2007-11-22 | Drivecam, Inc. | System and Method for Reducing Driving Risk With Insight |
US7659827B2 (en) * | 2006-05-08 | 2010-02-09 | Drivecam, Inc. | System and method for taking risk out of driving |
US8508353B2 (en) | 2009-01-26 | 2013-08-13 | Drivecam, Inc. | Driver risk assessment system and method having calibrating automatic event scoring |
US8630768B2 (en) | 2006-05-22 | 2014-01-14 | Inthinc Technology Solutions, Inc. | System and method for monitoring vehicle parameters and driver behavior |
US20080294690A1 (en) * | 2007-05-22 | 2008-11-27 | Mcclellan Scott | System and Method for Automatically Registering a Vehicle Monitoring Device |
US20070282638A1 (en) * | 2006-06-04 | 2007-12-06 | Martin Surovy | Route based method for determining cost of automobile insurance |
US7724145B2 (en) * | 2006-07-20 | 2010-05-25 | Intelleflex Corporation | Self-charging RFID tag with long life |
US20080027761A1 (en) * | 2006-07-25 | 2008-01-31 | Avraham Bracha | System and method for verifying driver's insurance coverage |
US8086523B1 (en) * | 2006-08-07 | 2011-12-27 | Allstate Insurance Company | Credit risk evaluation with responsibility factors |
US20080051996A1 (en) * | 2006-08-23 | 2008-02-28 | Dunning Katherine A | Apparatus and method for vehicular display of information |
US20080059019A1 (en) * | 2006-08-29 | 2008-03-06 | International Business Machines Coporation | Method and system for on-board automotive audio recorder |
US20090002147A1 (en) * | 2006-08-30 | 2009-01-01 | Sony Ericsson Mobile Communications Ab | Method for safe operation of mobile phone in a car environment |
US20080055050A1 (en) * | 2006-09-06 | 2008-03-06 | Robert Brown | Mobile file, indentification and security system device |
US7873455B2 (en) * | 2006-09-25 | 2011-01-18 | Cnh America Llc | Work vehicle access monitoring and control system |
CN101553323B (en) * | 2006-10-16 | 2014-07-09 | 技术资源有限公司 | Sorting mined material |
US20110040579A1 (en) * | 2006-12-20 | 2011-02-17 | Safeco Insurance Company Of America | Web-based systems and methods for providing services related to automobile safety and an insurance product |
US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
US9563919B2 (en) * | 2007-02-02 | 2017-02-07 | Hartford Fire Insurance Company | Safety evaluation and feedback system and method |
US20080215376A1 (en) * | 2007-02-08 | 2008-09-04 | Lawrence Engelman | Long-term care insurance |
US20080243558A1 (en) * | 2007-03-27 | 2008-10-02 | Ash Gupte | System and method for monitoring driving behavior with feedback |
US8117049B2 (en) * | 2007-04-10 | 2012-02-14 | Hti Ip, Llc | Methods, systems, and apparatuses for determining driver behavior |
DE102007017240A1 (en) * | 2007-04-12 | 2008-10-16 | Robert Bosch Gmbh | Method and route guidance device for determining a route |
CA2685822C (en) * | 2007-05-02 | 2022-08-30 | Otman A. Basir | Recording and reporting of driving characteristics with privacy protection |
US8606512B1 (en) | 2007-05-10 | 2013-12-10 | Allstate Insurance Company | Route risk mitigation |
US7756633B2 (en) * | 2007-05-11 | 2010-07-13 | Palo Alto Research Center Incorporated | System and method for security enhanced rideshare |
US9129460B2 (en) * | 2007-06-25 | 2015-09-08 | Inthinc Technology Solutions, Inc. | System and method for monitoring and improving driver behavior |
GB2451167A (en) * | 2007-07-16 | 2009-01-21 | Charles Graham Palmer | Separation of cost calculation means and payment services in a Position-Based Charging system. |
US8046243B2 (en) * | 2007-07-17 | 2011-10-25 | Sap Ag | Automatic insurance adjustments using real world awareness |
US8577703B2 (en) | 2007-07-17 | 2013-11-05 | Inthinc Technology Solutions, Inc. | System and method for categorizing driving behavior using driver mentoring and/or monitoring equipment to determine an underwriting risk |
GB2451485A (en) * | 2007-08-01 | 2009-02-04 | Airmax Group Plc | Vehicle monitoring system |
US8566126B1 (en) * | 2007-09-24 | 2013-10-22 | United Services Automobile Association | Systems and methods for processing vehicle or driver performance data |
DE102007058542A1 (en) * | 2007-12-06 | 2009-06-10 | Robert Bosch Gmbh | Driver assistance system for monitoring driving safety and corresponding method for detecting and evaluating a vehicle movement |
US9014910B2 (en) * | 2007-12-07 | 2015-04-21 | General Motors Llc | Method and system for providing vehicle data to third party authorized recipients |
US11159909B2 (en) * | 2008-02-05 | 2021-10-26 | Victor Thomas Anderson | Wireless location establishing device |
US9665910B2 (en) * | 2008-02-20 | 2017-05-30 | Hartford Fire Insurance Company | System and method for providing customized safety feedback |
US7898439B2 (en) * | 2008-03-20 | 2011-03-01 | Isabelle Bettez | Bicycle rental system and station |
US20100030568A1 (en) * | 2008-07-29 | 2010-02-04 | Denso International America, Inc. | Unused allocated mileage counter |
GB2474405A (en) * | 2008-07-31 | 2011-04-13 | Choicepoint Services Inc | Systems & methods of calculating and presenting automobile driving risks |
US7876201B2 (en) * | 2008-09-15 | 2011-01-25 | International Business Machines Corporation | Vehicle authorization method and system |
US20150324920A1 (en) * | 2008-09-30 | 2015-11-12 | Allstate Insurance Company | Real-Time Insurance Estimate Based on Limited Identification |
US8983677B2 (en) * | 2008-10-01 | 2015-03-17 | Honeywell International Inc. | Acoustic fingerprinting of mechanical devices |
US9818157B2 (en) * | 2008-10-07 | 2017-11-14 | State Farm Mutual Automobile Insurance Company | Method for using electronic metadata to verify insurance claims |
US8027853B1 (en) * | 2008-10-23 | 2011-09-27 | United States Automobile Associates (USAA) | Systems and methods for self-service vehicle risk adjustment |
US20100131300A1 (en) * | 2008-11-26 | 2010-05-27 | Fred Collopy | Visible insurance |
US8056538B2 (en) * | 2008-12-02 | 2011-11-15 | GM Global Technology Operations LLC | Method and system to prevent unauthorized uses of engine controllers |
US20100185489A1 (en) * | 2009-01-21 | 2010-07-22 | Satyavolu Ramakrishna V | Method for determining a personalized true cost of service offerings |
US8854199B2 (en) | 2009-01-26 | 2014-10-07 | Lytx, Inc. | Driver risk assessment system and method employing automated driver log |
US8332242B1 (en) | 2009-03-16 | 2012-12-11 | United Services Automobile Association (Usaa) | Systems and methods for real-time driving risk prediction and route recommendation |
US8438048B1 (en) * | 2009-05-29 | 2013-05-07 | United Services Automobile Association | Systems and methods for integrated purchasing of vehicles and vehicle insurance |
US9916625B2 (en) * | 2012-02-02 | 2018-03-13 | Progressive Casualty Insurance Company | Mobile insurance platform system |
US9616849B1 (en) * | 2009-06-26 | 2017-04-11 | United Services Automobile Association | Systems and methods for providing driving insurance for an individual driver |
WO2011004372A1 (en) | 2009-07-07 | 2011-01-13 | Tracktec Ltd | Driver profiling |
US9053469B1 (en) * | 2009-07-10 | 2015-06-09 | United Services Automobile Association | System and method for providing usage based vehicle insurance |
US9386447B2 (en) * | 2009-07-21 | 2016-07-05 | Scott Ferrill Tibbitts | Method and system for controlling a mobile communication device |
US9008956B2 (en) * | 2009-07-29 | 2015-04-14 | The Invention Science Fund I, Llc | Promotional correlation with selective vehicle modes |
US8515788B2 (en) * | 2009-09-04 | 2013-08-20 | The Travelers Indemnity Company | Methods and systems for providing customized risk mitigation/recovery to an insurance customer |
US8538789B1 (en) * | 2009-10-30 | 2013-09-17 | Intuit Inc. | Mileage tracking system and method |
US8145199B2 (en) | 2009-10-31 | 2012-03-27 | BT Patent LLC | Controlling mobile device functions |
WO2011057217A2 (en) * | 2009-11-06 | 2011-05-12 | University Of Utah Research Foundation | Method for gathering, processing, and analyzing data to determine crash risk associated with driving behavior |
US8509987B2 (en) * | 2009-11-11 | 2013-08-13 | Benjamin Resner | Methods and apparatus for automatic internet logging and social comparison of vehicular driving behavior |
US8359259B2 (en) * | 2009-11-12 | 2013-01-22 | Hartford Fire Insurance Company | System and method for administering telematics based reinsurance pools |
US8423239B2 (en) * | 2009-11-23 | 2013-04-16 | Hti Ip, L.L.C. | Method and system for adjusting a charge related to use of a vehicle during a period based on operational performance data |
US20130035964A1 (en) * | 2009-11-23 | 2013-02-07 | Hartford Fire Insurance Company | System and method for data processing for term life insurance policies issued before comprehensive underwriting |
US8635091B2 (en) * | 2009-12-17 | 2014-01-21 | Hartford Fire Insurance Company | Systems and methods for linking vehicles to telematics-enabled portable devices |
US20110213628A1 (en) * | 2009-12-31 | 2011-09-01 | Peak David F | Systems and methods for providing a safety score associated with a user location |
US9558520B2 (en) * | 2009-12-31 | 2017-01-31 | Hartford Fire Insurance Company | System and method for geocoded insurance processing using mobile devices |
US20120004933A1 (en) | 2010-02-09 | 2012-01-05 | At&T Mobility Ii Llc | System And Method For The Collection And Monitoring Of Vehicle Data |
EP2360871B1 (en) * | 2010-02-15 | 2016-04-06 | Accenture Global Services Limited | Machine to machine architecture |
US9377528B2 (en) * | 2010-03-19 | 2016-06-28 | Northeastern University | Roaming mobile sensor platform for collecting geo-referenced data and creating thematic maps |
US8836491B2 (en) * | 2010-04-29 | 2014-09-16 | Ford Global Technologies, Llc | Occupant detection |
JP2011232293A (en) * | 2010-04-30 | 2011-11-17 | Toyota Motor Corp | Vehicle exterior sound detection device |
US20160086393A1 (en) * | 2010-05-17 | 2016-03-24 | The Travelers Indemnity Company | Customized vehicle monitoring privacy system |
US20120109692A1 (en) * | 2010-05-17 | 2012-05-03 | The Travelers Indemnity Company | Monitoring customer-selected vehicle parameters in accordance with customer preferences |
US20120072244A1 (en) * | 2010-05-17 | 2012-03-22 | The Travelers Companies, Inc. | Monitoring customer-selected vehicle parameters |
US20120101855A1 (en) * | 2010-05-17 | 2012-04-26 | The Travelers Indemnity Company | Monitoring client-selected vehicle parameters in accordance with client preferences |
US8547214B2 (en) * | 2010-06-11 | 2013-10-01 | International Business Machines Corporation | System for preventing handheld device use while operating a vehicle |
US8275640B2 (en) * | 2010-07-22 | 2012-09-25 | Webcetera, L.P. | Insurance quoting application for handheld device |
US8489433B2 (en) | 2010-07-29 | 2013-07-16 | Insurance Services Office, Inc. | System and method for estimating loss propensity of an insured vehicle and providing driving information |
US20120065834A1 (en) * | 2010-09-10 | 2012-03-15 | Accenture Global Services Limited | Driving management system and method |
WO2012040392A2 (en) * | 2010-09-21 | 2012-03-29 | Cellepathy Ltd. | System and method for sensor-based determination of user role, location, and/or state of one of more in-vehicle mobile devices and enforcement of usage thereof |
US9330567B2 (en) * | 2011-11-16 | 2016-05-03 | Autoconnect Holdings Llc | Etiquette suggestion |
AU2011312061A1 (en) * | 2010-10-07 | 2013-05-23 | Sachin Goel | System and methodology for computer-implemented network optimization |
US8484054B2 (en) * | 2010-11-22 | 2013-07-09 | Hartford Fire Insurance Company | System and method for managing electronic accounts in response to disability data |
US8612139B2 (en) * | 2010-11-30 | 2013-12-17 | GM Global Technology Operations LLC | Systems and methods for planning vehicle routes based on safety factors |
US9142142B2 (en) * | 2010-12-10 | 2015-09-22 | Kaarya, Llc | In-car driver tracking device |
US9311271B2 (en) | 2010-12-15 | 2016-04-12 | Andrew William Wright | Method and system for logging vehicle behavior |
CA2823152C (en) * | 2010-12-26 | 2019-08-06 | The Travelers Indemnity Company | Systems and methods for utilization of risk zones |
US20120173128A1 (en) * | 2010-12-30 | 2012-07-05 | Theresa Peeler | System and Method for Preventing the Operation of a Motor Vehicle Without Required Insurance |
US10296977B2 (en) * | 2011-01-17 | 2019-05-21 | Imetrik Technologies Inc. | Computer-implemented method and system for reporting a confidence score in relation to a vehicle equipped with a wireless-enabled usage reporting device |
US20120209632A1 (en) | 2011-01-24 | 2012-08-16 | Lexisnexis Risk Solutions Inc. | Telematics smart pinging systems and methods |
US8928495B2 (en) | 2011-01-24 | 2015-01-06 | Lexisnexis Risk Solutions Inc. | Systems and methods for telematics monitoring and communications |
US9164957B2 (en) * | 2011-01-24 | 2015-10-20 | Lexisnexis Risk Solutions Inc. | Systems and methods for telematics monitoring and communications |
WO2012103306A2 (en) * | 2011-01-27 | 2012-08-02 | Berkeley Telematics Inc. | Determining cost for auto insurance |
US8655544B2 (en) * | 2011-02-02 | 2014-02-18 | Kaarya Llc | System and method for tracking vehicle mileage with mobile devices |
US9221428B2 (en) * | 2011-03-02 | 2015-12-29 | Automatic Labs Inc. | Driver identification system and methods |
US8581711B2 (en) * | 2011-03-22 | 2013-11-12 | Gordon*Howard Associates, Inc. | Methods and systems of rule-based intoxicating substance testing associated with vehicles |
US8731974B2 (en) * | 2011-04-05 | 2014-05-20 | Hartford Fire Insurance Company | Systems and methods associated with insurance for electric vehicles |
EP2705664A2 (en) * | 2011-05-03 | 2014-03-12 | Atsmon, Alon | Automatic image content analysis method and system |
US9171409B2 (en) * | 2011-05-04 | 2015-10-27 | GM Global Technology Operations LLC | System and method for vehicle driving style determination |
US8843348B2 (en) * | 2011-06-14 | 2014-09-23 | Hamilton Sundstrand Corporation | Engine noise monitoring as engine health management tool |
US8781958B2 (en) * | 2011-06-15 | 2014-07-15 | Joseph Michael | Systems and methods for monitoring, managing, and facilitating transactions involving vehicles |
US20120330499A1 (en) * | 2011-06-23 | 2012-12-27 | United Technologies Corporation | Acoustic diagnostic of fielded turbine engines |
US20110307188A1 (en) * | 2011-06-29 | 2011-12-15 | State Farm Insurance | Systems and methods for providing driver feedback using a handheld mobile device |
US8686844B1 (en) * | 2011-06-29 | 2014-04-01 | Intellectual Ventures Fund 79 Llc | Methods, devices, and mediums associated with risk management of vehicle operation |
US20130006674A1 (en) * | 2011-06-29 | 2013-01-03 | State Farm Insurance | Systems and Methods Using a Mobile Device to Collect Data for Insurance Premiums |
US10977601B2 (en) * | 2011-06-29 | 2021-04-13 | State Farm Mutual Automobile Insurance Company | Systems and methods for controlling the collection of vehicle use data using a mobile device |
KR20130004824A (en) * | 2011-07-04 | 2013-01-14 | 현대자동차주식회사 | Vehicle control system |
US20130041621A1 (en) * | 2011-07-18 | 2013-02-14 | David B. Smith | Vehicle speed, fuel, and revenue optimizer |
CA2844673C (en) * | 2011-08-09 | 2019-11-05 | Otman A. Basir | Vehicle monitoring system with automatic driver identification |
US20130046646A1 (en) * | 2011-08-18 | 2013-02-21 | Derrick S. Malan | Web Based Co-Op Trust Ownership Program |
US8538785B2 (en) * | 2011-08-19 | 2013-09-17 | Hartford Fire Insurance Company | System and method for computing and scoring the complexity of a vehicle trip using geo-spatial information |
US8569141B2 (en) * | 2011-08-31 | 2013-10-29 | Taiwan Semiconductor Manufacturing Company, Ltd. | Polysilicon resistor formation in a gate-last process |
US8781900B2 (en) * | 2011-09-09 | 2014-07-15 | Gordon*Howard Associates, Inc. | Method and system of providing information to an occupant of a vehicle |
US9235750B1 (en) * | 2011-09-16 | 2016-01-12 | Lytx, Inc. | Using passive driver identification and other input for providing real-time alerts or actions |
US8744642B2 (en) * | 2011-09-16 | 2014-06-03 | Lytx, Inc. | Driver identification based on face data |
US8788114B2 (en) * | 2011-10-26 | 2014-07-22 | Telenav, Inc. | Navigation system with compliance reporting and method of operation thereof |
US8818613B2 (en) * | 2011-12-09 | 2014-08-26 | General Motors Llc | Application for a communications and processing device |
US8989914B1 (en) * | 2011-12-19 | 2015-03-24 | Lytx, Inc. | Driver identification based on driving maneuver signature |
US20130166326A1 (en) | 2011-12-21 | 2013-06-27 | Scope Technologies Holdings Limited | System and method for characterizing driver performance and use in determining insurance coverage |
DE102011121871B3 (en) * | 2011-12-21 | 2012-10-25 | Audi Ag | Method for determining occupant weight of motor car, involves detecting two times as two values of force acting on carriage load and suspension load, and detecting difference between two values to obtain occupant weight of vehicle |
US9824064B2 (en) * | 2011-12-21 | 2017-11-21 | Scope Technologies Holdings Limited | System and method for use of pattern recognition in assessing or monitoring vehicle status or operator driving behavior |
US8527146B1 (en) * | 2012-01-30 | 2013-09-03 | Google Inc. | Systems and methods for updating vehicle behavior and settings based on the locations of vehicle passengers |
US9170982B2 (en) * | 2012-02-09 | 2015-10-27 | Vehcon, Inc. | Machinery fingerprinting |
US20130218604A1 (en) * | 2012-02-21 | 2013-08-22 | Elwha Llc | Systems and methods for insurance based upon monitored characteristics of a collision detection system |
WO2013126866A1 (en) * | 2012-02-24 | 2013-08-29 | B3, Llc | Systems and methods for comprehensive insurance loss management and loss minimization |
US9098367B2 (en) * | 2012-03-14 | 2015-08-04 | Flextronics Ap, Llc | Self-configuring vehicle console application store |
US20130262152A1 (en) * | 2012-03-28 | 2013-10-03 | The Travelers Indemnity Company | Systems and methods for certified location data collection, management, and utilization |
US20130274955A1 (en) | 2012-04-13 | 2013-10-17 | Walter Steven Rosenbaum | Method for analyzing operation characteristics of a vehicle driver |
US20130297387A1 (en) * | 2012-05-01 | 2013-11-07 | Joseph Michael | Systems and methods for monitoring, managing, and facilitating communications and/or transactions relating to transportation infrastructure utilization |
US9922001B2 (en) * | 2012-05-10 | 2018-03-20 | Omnitracs, Llc | Off-board hours-of-service (“HOS”) processing |
US8768734B2 (en) * | 2012-05-10 | 2014-07-01 | Hartford Fire Insurance Company | System and method for computing and sorting trip similarities using geo-spatial information |
US9037394B2 (en) * | 2012-05-22 | 2015-05-19 | Hartford Fire Insurance Company | System and method to determine an initial insurance policy benefit based on telematics data collected by a smartphone |
US8768565B2 (en) | 2012-05-23 | 2014-07-01 | Enterprise Holdings, Inc. | Rental/car-share vehicle access and management system and method |
US8634822B2 (en) * | 2012-06-24 | 2014-01-21 | Tango Networks, Inc. | Automatic identification of a vehicle driver based on driving behavior |
US9183441B2 (en) * | 2012-06-25 | 2015-11-10 | Vehcon, Inc. | Vehicle data collection and verification |
US20140012604A1 (en) * | 2012-07-09 | 2014-01-09 | David W. Allen, JR. | Self-Selected Insurance Pool Management |
US20140019167A1 (en) * | 2012-07-16 | 2014-01-16 | Shuli Cheng | Method and Apparatus for Determining Insurance Risk Based on Monitoring Driver's Eyes and Head |
US20140025401A1 (en) * | 2012-07-17 | 2014-01-23 | Peter L. Hagelstein | Data acquisition apparatus configured to acquire data for insurance purposes, and related systems and methods |
US20140046701A1 (en) * | 2012-08-12 | 2014-02-13 | Insurance Services Office, Inc. | Apparatus and Method for Detecting Driving Performance Data |
WO2014028010A2 (en) * | 2012-08-15 | 2014-02-20 | Empire Technology Development Llc | Estimating insurance risks and costs |
BR112015003705A2 (en) * | 2012-08-21 | 2017-07-04 | Insurance Services Office Inc | Apparatus and method for analyzing driving performance data |
US20140074402A1 (en) * | 2012-09-12 | 2014-03-13 | Lexisnexis Risk Solutions Fl Inc. | Systems and methods for determining risks associated with driving routes |
US20140074345A1 (en) * | 2012-09-13 | 2014-03-13 | Chanan Gabay | Systems, Apparatuses, Methods, Circuits and Associated Computer Executable Code for Monitoring and Assessing Vehicle Health |
US9141975B2 (en) * | 2012-09-23 | 2015-09-22 | Intel Corporation | Inferring user risk profile from travel patterns |
US20140086419A1 (en) * | 2012-09-27 | 2014-03-27 | Manjit Rana | Method for capturing and using audio or sound signatures to analyse vehicle accidents and driver behaviours |
CA2887494A1 (en) * | 2012-10-09 | 2014-04-17 | Insurance Services Office, Inc. | System and method for classifying and identifying a driver using driving performance data |
US20140108058A1 (en) * | 2012-10-11 | 2014-04-17 | Agero, Inc. | Method and System to Determine Auto Insurance Risk |
US9141582B1 (en) * | 2012-12-19 | 2015-09-22 | Allstate Insurance Company | Driving trip and pattern analysis |
US9141995B1 (en) * | 2012-12-19 | 2015-09-22 | Allstate Insurance Company | Driving trip and pattern analysis |
US20140180723A1 (en) * | 2012-12-21 | 2014-06-26 | The Travelers Indemnity Company | Systems and methods for surface segment data |
US9665997B2 (en) * | 2013-01-08 | 2017-05-30 | Gordon*Howard Associates, Inc. | Method and system for providing feedback based on driving behavior |
US9232126B2 (en) * | 2013-02-22 | 2016-01-05 | Cognex Corporation | Apparatus for adjusting the focus of an image capturing device |
US20140257863A1 (en) * | 2013-03-06 | 2014-09-11 | American Family Mutual Insurance Company | System and method of usage-based insurance with location-only data |
US9454786B1 (en) * | 2013-03-08 | 2016-09-27 | Allstate Insurance Company | Encouraging safe driving using a remote vehicle starter and personalized insurance rates |
US9031545B1 (en) * | 2013-03-08 | 2015-05-12 | Allstate Insurance Company | Encouraging safe driving using a remote vehicle starter |
US8799036B1 (en) | 2013-03-10 | 2014-08-05 | State Farm Mutual Automobile Insurance Company | Systems and methods for analyzing vehicle operation data to facilitate insurance policy processing |
US20140278574A1 (en) * | 2013-03-14 | 2014-09-18 | Ernest W. BARBER | System and method for developing a driver safety rating |
US9053516B2 (en) * | 2013-07-15 | 2015-06-09 | Jeffrey Stempora | Risk assessment using portable devices |
US8935036B1 (en) * | 2013-09-06 | 2015-01-13 | State Farm Mutual Automobile Insurance Company | Systems and methods for updating a driving tip model using telematics data |
US10832327B1 (en) * | 2014-07-21 | 2020-11-10 | State Farm Mutual Automobile Insurance Company | Methods of providing insurance savings based upon telematics and driving behavior identification |
EP3239686B1 (en) | 2016-04-26 | 2024-09-18 | Walter Steven Rosenbaum | Method for determining driving characteristics of a vehicle |
US9916849B1 (en) * | 2016-11-09 | 2018-03-13 | Seagate Technology Llc | Method and apparatus for detecting and remediating in response to insufficient or excessive HAMR optical power |
EP3578433B1 (en) | 2018-04-10 | 2020-08-12 | Walter Steven Rosenbaum | Method for estimating an accident risk of an autonomous vehicle |
US20220340148A1 (en) | 2018-04-10 | 2022-10-27 | Walter Steven Rosenbaum | Method for estimating an accident risk of an autonomous vehicle |
US11407410B2 (en) | 2018-04-10 | 2022-08-09 | Walter Steven Rosenbaum | Method and system for estimating an accident risk of an autonomous vehicle |
EP3730375B1 (en) | 2019-04-24 | 2021-10-20 | Walter Steven Rosenbaum | Method and system for analysing the control of a vehicle |
US12258049B2 (en) | 2019-04-24 | 2025-03-25 | Walter Steven Rosenbaum | Method and system for analyzing the control of a vehicle |
CN112080901B (en) | 2020-08-31 | 2024-02-13 | 青岛海尔洗衣机有限公司 | Clothes treating apparatus |
EP4190660A1 (en) | 2021-12-06 | 2023-06-07 | Walter Steven Rosenbaum | Method and system for determining an operation requirement |
-
2014
- 2014-03-10 US US14/202,997 patent/US8799036B1/en active Active
- 2014-03-10 US US14/203,338 patent/US9141996B2/en active Active
- 2014-03-10 US US14/203,356 patent/US9208525B2/en active Active
- 2014-03-10 US US14/203,015 patent/US9105066B2/en active Active
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Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7542915B2 (en) * | 2003-09-30 | 2009-06-02 | The Boeing Company | System of charging for automobile insurance |
US20070299700A1 (en) * | 2004-10-29 | 2007-12-27 | Milemeter, Inc. | System and Method for Assessing Earned Premium for Distance-Based Vehicle Insurance |
US8016416B1 (en) * | 2005-01-15 | 2011-09-13 | Sandy Helene Straus | Automatic system and methods for measuring and evaluating at least one of mass vision, cognition, knowledge, operation skills, and the like |
US20090094066A1 (en) * | 2007-10-03 | 2009-04-09 | Quotepro, Inc. | Methods and Systems for Providing Vehicle Insurance |
US20120271661A1 (en) * | 2009-11-23 | 2012-10-25 | Hartford Fire Insurance Company | System and method for processing data related to life insurance policies issued prior to underwriting |
US20120112879A1 (en) * | 2010-11-09 | 2012-05-10 | Ekchian Caroline M | Apparatus and method for improved vehicle safety |
US20130189660A1 (en) * | 2012-01-20 | 2013-07-25 | Mark Mangum | Methods and systems for assessing and developing the mental acuity and behavior of a person |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
USRE49334E1 (en) | 2005-10-04 | 2022-12-13 | Hoffberg Family Trust 2 | Multifactorial optimization system and method |
US9865020B1 (en) | 2013-03-10 | 2018-01-09 | State Farm Mutual Automobile Insurance Company | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
US10373264B1 (en) | 2013-03-10 | 2019-08-06 | State Farm Mutual Automobile Insurance Company | Vehicle image and sound data gathering for insurance rating purposes |
US10387967B1 (en) | 2013-03-10 | 2019-08-20 | State Farm Mutual Automobile Insurance Company | Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data |
US11610270B2 (en) | 2013-03-10 | 2023-03-21 | State Farm Mutual Automobile Insurance Company | Adjusting insurance policies based on common driving routes and other risk factors |
US12002104B2 (en) | 2013-03-10 | 2024-06-04 | State Farm Mutual Automobile Insurance Company | Dynamic auto insurance policy quote creation based on tracked user data |
US11769119B1 (en) * | 2015-04-15 | 2023-09-26 | Allstate Insurance Company | Autonomous car repair |
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US20240242291A1 (en) | 2024-07-18 |
US10013719B1 (en) | 2018-07-03 |
US9418383B1 (en) | 2016-08-16 |
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