KR102281738B1 - Power sensitized smart lighting apparatus and method for providing smart lighting - Google Patents

Abstract

A power-sensitive smart lighting device and a smart lighting providing method are presented, and the power-sensitive smart lighting device acquires image information, which is visual environmental information about the surrounding environment of the smart lighting device, and an image analysis unit that analyzes the obtained image information , a sound analysis unit that acquires sound information, which is auditory environment information about the surrounding environment, and analyzes the acquired sound information, a motion acquisition unit that obtains motion information by detecting the user's movement, the environment information and the motion It may include a behavior pattern analysis unit that analyzes the user's behavior pattern based on the information, and a lighting control unit that detects the power and controls lighting based on the power and the behavior pattern.

Description

POWER SENSITIZED SMART LIGHTING APPARATUS AND METHOD FOR PROVIDING SMART LIGHTING

Embodiments disclosed herein relate to a power-sensitive smart lighting device and a method for providing smart lighting, and more particularly, by sensing power and the surrounding environment, analyzing the user's behavior pattern, recording the user's behavior, and simultaneously recording the user It relates to a power-sensitive smart lighting device that provides lighting optimized for the behavior of a person and a method for providing smart lighting.

Recently, as the use of social network service (SNS) increases, it has become common for users to record their activities or appearances by using a camera.

In particular, users take pictures or images to be uploaded to SNS by using a camera provided in a mobile phone to quickly capture events of daily life.

However, when the user manually manipulates the camera to take the picture, there is a problem in that the actual user misses the point of time the user wants to take a picture or cannot take a natural picture.

In addition, there is a problem in that it is difficult to properly control the lighting according to the user's behavior or movement when shooting through the camera provided in the mobile phone.

Furthermore, there is a problem in that it is not possible to efficiently provide lighting by actively adjusting the brightness of the lighting in consideration of the reserve power level during photographing.

In relation to this, in Korea Patent Publication No. 10-2016-0133426, which is a prior art document, it relates to a method for manufacturing an LED lighting device, a light bulb cover, and other electric circuits. Although the technology for forming a three-dimensional circuit on the housing by applying a circuit layer to the housing surface is disclosed, it does not solve the problems described above.

Therefore, there is a need for a technique for solving the above-mentioned problems.

On the other hand, the above-mentioned background art is technical information that the inventor possessed for the derivation of the present invention or acquired during the derivation process of the present invention, and it cannot be said that it is necessarily a known technique disclosed to the general public before the filing of the present invention .

Embodiments disclosed herein have an object to provide a power-sensitive smart lighting device and a smart lighting providing method capable of providing appropriate lighting by sensing a user's behavior.

Embodiments disclosed herein have an object to provide a power-sensitive smart lighting device and a smart lighting providing method capable of providing appropriate lighting by sensing the surrounding environment.

Embodiments disclosed in the present specification have an object to provide a power-sensitive smart lighting device and a smart lighting providing method that sense the operating environment of the lighting device and operate with a minimum amount of power.

Embodiments disclosed herein have an object to provide a power-sensitive smart lighting device and a smart lighting providing method that are actively controlled in consideration of the reserve power level.

As a technical means for achieving the above-described technical problem, according to an embodiment, in the power-sensitive smart lighting device, image information that is visual environmental information about the surrounding environment of the smart lighting device is obtained, and the obtained image information is An image analysis unit to analyze, a sound analysis unit to obtain sound information that is auditory environment information about the surrounding environment, and a sound analysis unit to analyze the acquired sound information, a motion acquisition unit to obtain motion information by detecting the user's movement, the It may include a behavior pattern analysis unit that analyzes a user's behavior pattern based on the environmental information and the motion information, and a lighting control unit that detects the power and controls lighting based on the power and the behavior pattern.

According to another embodiment, in a method for a smart lighting device to provide power-sensitive smart lighting, image information that is visual environmental information about the surrounding environment of the smart lighting device and sound information that is audible environmental information about the surrounding environment obtaining at least one of: obtaining motion information by identifying the movement of the user; analyzing the user's behavior pattern based on at least one of the environment information and the motion information; and detecting the power; It may include controlling the lighting based on the power and the behavior pattern.

According to another embodiment, as a computer-readable recording medium on which a program for performing a smart lighting providing method is recorded, image information that is visual environmental information about the surrounding environment of the smart lighting device and an auditory environment for the surrounding environment obtaining at least one of sound information as information, obtaining motion information by identifying the user's movement, analyzing a user's behavior pattern based on at least one of the environment information and the motion information, and the power and controlling the lighting based on the power and the behavior pattern.

According to another embodiment, as a computer program stored in a recording medium to perform a smart lighting providing method and performed by a smart lighting providing device, image information that is visual environmental information about the surrounding environment of the smart lighting device and the surrounding environment Acquiring at least one of sound information, which is auditory environmental information for a , obtaining motion information by identifying the user's movement, analyzing a user's behavior pattern based on at least one of the environment information and the motion information and sensing the power, and controlling lighting based on the power and the behavior pattern.

According to any one of the above-mentioned problem solving means, it is possible to provide a power-sensitive smart lighting device and a smart lighting providing method capable of providing appropriate lighting by detecting a user's behavior.

According to any one of the above-described problem solving means, it is possible to provide a power-sensitive smart lighting device and a smart lighting providing method capable of providing appropriate lighting by sensing the surrounding environment.

According to any one of the above-mentioned problem solving means, it is possible to provide a power-sensitive smart lighting device and a smart lighting providing method that sense the operating environment of the lighting device and operate with a minimum amount of power.

According to any one of the above-described problem solving means, it is possible to provide a power-sensitive smart lighting device and a smart lighting providing method that are actively controlled in consideration of the reserve power level.

Effects obtainable in the disclosed embodiments are not limited to the above-mentioned effects, and other effects not mentioned are clear to those of ordinary skill in the art to which the embodiments disclosed from the description below belong. will be able to be understood

1 is a block diagram showing the configuration of a smart lighting device according to an embodiment.
2 is a flowchart illustrating a method for providing smart lighting according to an embodiment.

Hereinafter, various embodiments will be described in detail with reference to the accompanying drawings. The embodiments described below may be modified and implemented in various different forms. In order to more clearly describe the characteristics of the embodiments, detailed descriptions of matters widely known to those of ordinary skill in the art to which the following embodiments belong are omitted. In addition, in the drawings, parts irrelevant to the description of the embodiments are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a component is said to be "connected" with another component, it includes not only the case where it is 'directly connected' but also the case where it is 'connected with another component in between'. In addition, when a component "includes" a component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

1 is a block diagram for explaining a smart lighting device 10 according to an embodiment.

The smart lighting device 10 detects power, and according to the available power, a camera capable of photographing a user provided in the smart lighting device 10, a lighting device emitting light, and a sensor capable of detecting the surrounding environment, etc. By sensing the user's behavior with the controlling lighting device, the user's behavioral pattern is analyzed, and the user can be photographed while actively adjusting the lighting based on the analyzed behavioral pattern.

In addition, the smart lighting device 10 may sense the reserve power and actively adjust the brightness in consideration of the reserve power level.

The smart lighting device 10 may be connected to a remote server through the network N, or may be connected to other terminals and servers, and may be connected to a computer, a portable terminal, a television, a wearable device, and the like. Here, the computer includes, for example, a laptop, a desktop, and a laptop equipped with a web browser, and the portable terminal is, for example, a wireless communication device that ensures portability and mobility. , PCS (Personal Communication System), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), GSM (Global System for Mobile communications), IMT (International Mobile Telecommunication)-2000, CDMA (Code) All kinds of handhelds such as Division Multiple Access)-2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro), Smart Phone, Mobile Worldwide Interoperability for Microwave Access (WiMAX), etc. It may include a (Handheld)-based wireless communication device. In addition, the television may include IPTV (Internet Protocol Television), Internet TV (Internet Television), terrestrial TV, cable TV, and the like. Furthermore, the wearable device is, for example, a type of information processing device that can be worn directly on the human body, such as watches, glasses, accessories, clothes, shoes, etc. can be connected with

And the smart lighting device 10 may be connected to the user's terminal, and may transmit and receive power state information.

Referring to FIG. 1 , a smart lighting device 10 according to an embodiment may include an input/output unit 110 , a control unit 120 , a communication unit 130 , and a memory 140 .

The input/output unit 110 may include an input unit for acquiring a surrounding image or surrounding sound of the smart lighting device 10 or sensing the movement of an object, and may include an output unit for emitting light.

For example, the input/output unit 110 may include a camera that captures the surroundings as an input unit, a microphone that acquires surrounding sounds, and a sensor that detects environmental factors such as temperature, movement, heat, and light. , the output unit may include lighting using an LED, a halogen lamp, an incandescent lamp, a fluorescent lamp, or the like as a light source.

However, the present invention is not limited thereto, and the input/output unit 110 may include a configuration supporting various input/output.

The controller 120 controls the overall operation of the smart lighting device 10, and may include a processor such as a CPU. The controller 120 may control other components included in the smart lighting device 10 .

For example, the controller 120 may execute a program stored in the memory 140 , read a file stored in the memory 140 , or store a new file in the memory 140 .

The control unit 120 may include an image analysis unit 121 , a sound analysis unit 122 , a motion acquisition unit 123 , a behavior pattern analysis unit 124 , and a lighting control unit 125 .

First, the image analysis unit 121 may acquire image information, which is visual environmental information about the surrounding environment of the smart lighting device 10 .

For example, the image analysis unit 121 may acquire the image information in the form of at least one of a video or an image of the surrounding environment in which the smart lighting device 10 is disposed through a camera.

And the image analysis unit 121 may analyze the acquired image information to identify the object in the image information.

For example, the image analysis unit 121 may identify the user's face in the image, and may identify the user's hand within a certain range based on the identified user's face.

Alternatively, for example, the image analysis unit 121 may identify and search for an object in an image based on a pattern of a pre-stored object such as a book, note, or pencil.

And, for example, the image analysis unit 121 may identify the brightness of the location where the smart lighting device 10 is disposed, the direction of light, etc. based on the brightness of the image.

In addition, the sound analysis unit 122 may acquire sound information, which is auditory environment information about the surrounding environment.

For example, the sound analysis unit 122 may acquire sound information by recording the sound of the surrounding environment of the smart lighting device 10 through a microphone provided in the smart lighting device 10 .

Thereafter, the sound analysis unit 122 may analyze the acquired sound information.

For example, the sound analysis unit 122 converts the acquired sound information into a frequency domain to identify a frequency corresponding to a human voice range to extract the user's voice, and to extract the word included in the extracted user's voice. can be analyzed.

Alternatively, for example, the sound analysis unit 122 may classify and identify sounds generated according to the user's actions, such as a handwriting sound, a computer keyboard sound, and the like, from the acquired sound information.

In addition, the motion acquisition unit 123 may acquire motion information by identifying the user's behavior.

For example, the motion acquisition unit 123 may detect the user's action using a kinetic device capable of detecting the user's action, and when detecting the user's action, the user's gaze direction, hand movement, etc. are recorded. Motion information can be obtained.

And the behavior pattern analysis unit 124 is the user's behavior pattern based on the environmental information and motion information including at least one of image information and sound information, which is information detected by using a camera or a sensor, the surrounding environment of the smart lighting device. can be analyzed.

First, the behavior pattern analysis unit 124 may determine the user's behavior based on at least one of environmental information and motion information.

According to one embodiment, the behavior pattern analysis unit 124 may determine the user's behavior based on the user's location and the identified object.

For example, when a desk and a book are identified from the image information and the user's face is identified as being located within a predetermined distance from the desk, the behavior pattern analysis unit 124 may determine that the user's action is reading a book.

According to another embodiment, the behavior pattern analysis unit 124 may determine the user's behavior based on the user's voice or the sound of the surrounding environment.

For example, when a word included in the user's voice extracted from the sound information is identified, the behavior pattern analysis unit 124 analyzes the meaning of the word included in the user's voice to determine whether the user memorizes the English word or if the user You can decide whether to listen to music or not.

According to another embodiment, the behavior pattern analysis unit 124 may determine the user's behavior based on the motion information and the environment information.

For example, the behavior pattern analysis unit 124 may analyze the motion of the user's hand based on the motion information and determine the user's behavior as taking notes.

Alternatively, the behavior pattern analysis unit 124 may determine the user's behavior by combining each of image information, sound information, and motion information.

For example, when a desk and a book are identified from the image information and a handwriting sound is identified from the sound information, the behavior pattern analysis unit 124 may determine the behavior that the user is studying.

Then, the behavior pattern analysis unit 124 may machine-learning the determined user's behavior, and may analyze the user's behavior pattern for each time period based on the machine-learning result.

In this case, according to an embodiment, the behavior pattern analysis unit 124 may machine-lear a user behavior determined based on at least one of image information, sound information, and motion information, and based on the learning result, machine-learning user behavior for each time period. It can learn, and the user's behavior pattern can be analyzed based on the learned result.

For example, the behavior pattern analysis unit 124 may learn the user's behavior by deep learning the user's behavior for each time period, and may analyze the user's behavior pattern for each time period. That is, the behavioral pattern analysis unit 124 may determine the user's behavioral pattern by reading a book during the weekday evening when the ratio of reading a book among the user's actions exceeds a preset value during the evening on weekdays.

Or, for example, when there is a movement of the user at 6 am, the behavior pattern analysis unit 124 may analyze the behavior pattern in which the user wakes up at 6 am.

In addition, the behavior pattern analysis unit 124 may store image information, sound information, and motion information about the user in the memory 140 to be described later on the basis of the behavior pattern of the user.

In this case, the behavioral pattern analysis unit 124 may obtain power state information according to an embodiment, and determine whether to store at least one of the user's image information and the sound information based on the power state information.

For example, when the behavior of the user is determined to be studied, the behavior pattern analysis unit 124 may store image information captured by the user, sound information including the user's voice, and motion information about the user's posture.

Through this, it is possible to record small things such as taking notes left by the user unconsciously or a page of a book read with interest, and to improve study habits by recording the user's writing habits, average time spent, and main activities. You can analyze it, and you can also find out patterns in your lifestyle, such as time spent reading books and using the Internet.

On the other hand, the lighting control unit 125 may control the lighting in response to the analyzed behavior pattern of the user.

For example, the lighting control unit 125 may respond to the user's behavior pattern and, according to the user's behavior pattern, increase the intensity of lighting when the current time is the time the user reads a book, and the user's behavior pattern is rest. In some cases, you can lower the intensity of the light.

In this case, the lighting control unit 125 may additionally control the lighting in response to the user's ambient illuminance.

For example, the lighting control unit 125 may control the intensity of the lighting so that the brightness is suitable for reading a book based on the brightness of the user's surrounding environment based on the illuminance identified from the image information.

Or, for example, the lighting control unit 125 may increase the brightness of the user's surrounding environment by operating the light at 6 am according to the behavior pattern of the user waking up at 6 am.

Through this, by appropriately controlling the lighting in response to the user's behavior pattern, the brightness of the surrounding environment can be optimally adjusted according to the user's behavior.

In this case, the lighting control unit 125 may additionally sense power to adaptively control the lighting.

For example, the lighting control unit 125 may detect the reserve power, and when the reserve power is less than or equal to a preset value, control the lighting by lowering the brightness by 20% compared to the brightness of the lighting controlled according to the behavior pattern of the same user. can

Meanwhile, the communication unit 130 may perform wired/wireless communication with other devices or networks. To this end, the communication unit 130 may include a communication module supporting at least one of various wired and wireless communication methods. For example, the communication module may be implemented in the form of a chipset.

The wireless communication supported by the communication unit 130 may be, for example, Wireless Fidelity (Wi-Fi), Wi-Fi Direct, Bluetooth, Ultra Wide Band (UWB), or Near Field Communication (NFC). In addition, the wired communication supported by the communication unit 130 may be, for example, USB or High Definition Multimedia Interface (HDMI).

Various types of data such as files, applications, and programs may be installed and stored in the memory 140 . The controller 120 may access and use data stored in the memory 140 , or may store new data in the memory 140 . Also, the controller 120 may execute a program installed in the memory 140 . Referring to FIG. 1 , a program for performing a smart lighting providing method may be installed in the memory 140 .

The memory 140 may store at least one of image information, sound information, and motion information.

2 is a flowchart illustrating a method for providing smart lighting according to an embodiment.

The smart lighting providing method according to the embodiment shown in FIG. 2 includes steps processed in time series in the smart lighting device 10 shown in FIG. 1 . Therefore, even if omitted below, the contents described above with respect to the smart lighting device 10 shown in FIG. 1 can also be applied to the smart lighting providing method according to the embodiment shown in FIG. 2 .

First, the smart lighting device 10 may acquire environmental information, which is information about the surrounding environment (S2001).

For example, the smart lighting device 10 may photograph the surrounding environment through the provided camera, and may acquire the captured image or image as image information that is visual information among the environment information.

Or, for example, the smart lighting device 10 may acquire sound information, which is auditory information, among environmental information by recording a sound using an provided microphone.

In this case, according to an embodiment, the smart lighting device 10 may acquire motion information by detecting the user's movement.

For example, the smart lighting device 10 may include a kinetic device for detecting a motion, and if the motion of the user is detected using the provided kinetic device, the user's motion information may be acquired.

And the smart lighting device 10 may analyze at least one of the environmental information and the motion information obtained in step S2001 (S2002).

That is, the smart lighting device 10 may analyze at least one of image information and sound information.

According to one embodiment, the smart lighting device 10 may identify an object included in the image information.

For example, the smart lighting device 10 may identify a desk, a book, a notebook, a pencil, etc. as an object included in the image information through pattern matching based on the image information.

Or, for example, the smart ginning device 10 may identify the user's face, hand, etc. body included in the image information.

According to another embodiment, the smart lighting device 10 may analyze the sound included in the sound information.

For example, the smart lighting device 10 may convert sound information into a frequency domain to extract a sound corresponding to a frequency included in a human voice range, and identify a user's voice corresponding to the extracted sound. .

Or, for example, the smart lighting device 10 may identify a sound included in the sound information obtained in step S2001 based on pre-stored sound information, such as a button click sound or a handwriting sound.

In addition, the smart lighting device 10 may identify the user's movement based on the motion information obtained in step S2001.

For example, the smart lighting device 10 may identify the user's posture based on the positions of the user's head, body, hands, and legs included in the motion information.

And the smart lighting device 10 may analyze the user's behavior pattern based on at least one of motion information and environment information (S2003).

For example, when the user's face identified in step S2002 is located within a certain distance from the desk and the handwriting sound is identified, the smart lighting device 10 may identify the user's behavior as the user is studying.

Or, for example, when the monitor and the button click sound are identified in step S2002, the smart lighting device 10 may identify that the user is using a computer.

Thereafter, the smart lighting device 10 may learn the user's machine behavior identified for each time period, and may analyze the user's behavior pattern using the machine learning result.

For example, the smart lighting device 10 may classify the user's behavior into computer use, study, sleep, etc., and may analyze the user's behavioral pattern for each time period based on the user's behavior for each time period.

And the smart lighting device 10 may control the lighting according to the analyzed user behavior pattern (S2004).

The smart lighting device 10 may adaptively adjust the intensity of lighting in response to the analyzed user's behavior.

For example, when the user takes notes, the smart lighting device 10 may increase the intensity of the lighting so that the user's handwriting can be easily identified, and the direction of the lighting may be adjusted to be directed to the area where the notes are located.

Or, for example, the smart lighting device 10 may lower the intensity of lighting when it corresponds to the sleep time according to the user's behavior pattern.

In addition, the smart lighting device 10 may acquire power state information and store at least one of the user's image information and the sound information based on the power state information (S2005).

That is, the smart lighting device 10 stores at least one of image information and sound information about the user's behavior by controlling the lighting according to the user's behavior in step S2004, but whether to store it differently depending on the power state.

For example, when the reserve power is sufficient, the smart lighting device 10 may store both the user's posture and the user's handwriting in real time.

Or, for example, when the reserve power is insufficient, when it is identified that the user is sleeping, the smart lighting device 10 may store only a part of the user's sleeping posture and sound.

The term '~ unit' used in the above embodiments means software or hardware components such as field programmable gate array (FPGA) or ASIC, and '~ unit' performs certain roles. However, '-part' is not limited to software or hardware. The '~ unit' may be configured to reside on an addressable storage medium or may be configured to refresh one or more processors. Thus, as an example, '~' denotes components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program patent code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.

Functions provided in components and '~ units' may be combined into a smaller number of components and '~ units' or separated from additional components and '~ units'.

In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

The smart lighting control method according to the embodiment described with reference to FIG. 2 may be implemented in the form of a computer-readable medium for storing instructions and data executable by a computer. In this case, the instructions and data may be stored in the form of program codes, and when executed by the processor, a predetermined program module may be generated to perform a predetermined operation. In addition, computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may be a computer recording medium, which is a volatile and non-volatile and non-volatile embodied in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. It may include both volatile, removable and non-removable media. For example, the computer recording medium may include magnetic storage media such as HDD and SSD, optical recording media such as CD, DVD and Blu-ray disc, or accessible through a network. It may be memory included in the server.

In addition, the smart lighting control method according to the embodiment described with reference to FIG. 2 may be implemented as a computer program (or computer program product) including instructions executable by a computer. The computer program includes programmable machine instructions processed by a processor, and may be implemented in a high-level programming language, an object-oriented programming language, an assembly language, or a machine language. . In addition, the computer program may be recorded in a tangible computer-readable recording medium (eg, a memory, a hard disk, a magnetic/optical medium, or a solid-state drive (SSD), etc.).

Accordingly, the smart lighting control method according to the embodiment described with reference to FIG. 2 may be implemented by executing the computer program as described above by the computing device. The computing device may include at least a portion of a processor, a memory, a storage device, a high-speed interface connected to the memory and the high-speed expansion port, and a low-speed interface connected to the low-speed bus and the storage device. Each of these components is connected to each other using various buses, and may be mounted on a common motherboard or in any other suitable manner.

Here, the processor may process a command within the computing device, such as for displaying graphic information for providing a Graphical User Interface (GUI) on an external input or output device, such as a display connected to a high-speed interface. Examples are instructions stored in memory or a storage device. In other embodiments, multiple processors and/or multiple buses may be used with multiple memories and types of memory as appropriate. In addition, the processor may be implemented as a chipset formed by chips including a plurality of independent analog and/or digital processors.

Memory also stores information within the computing device. As an example, the memory may be configured as a volatile memory unit or a set thereof. As another example, the memory may be configured as a non-volatile memory unit or a set thereof. The memory may also be another form of computer readable medium such as, for example, a magnetic or optical disk.

In addition, the storage device may provide a large-capacity storage space to the computing device. A storage device may be a computer-readable medium or a component comprising such a medium, and may include, for example, devices or other components within a storage area network (SAN), a floppy disk device, a hard disk device, an optical disk device, or a tape device, a flash memory, or other semiconductor memory device or device array similar thereto.

The above-described embodiments are for illustration, and those of ordinary skill in the art to which the above-described embodiments pertain can easily transform into other specific forms without changing the technical idea or essential features of the above-described embodiments. You will understand. Therefore, it should be understood that the above-described embodiments are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and likewise components described as distributed may be implemented in a combined form.

The scope to be protected through this specification is indicated by the claims described below rather than the above detailed description, and should be construed to include all changes or modifications derived from the meaning and scope of the claims and their equivalents. .

10: smart lighting device
110: input/output unit
120: control unit
121: image analysis unit 122: sound analysis unit
123: motion acquisition unit 124: behavior pattern analysis unit
125: lighting control unit
130: communication department
140: memory

Claims (6)

In the power-sensitive smart lighting device,
an image analysis unit for acquiring image information, which is visual environmental information about the surrounding environment of the smart lighting device, and analyzing the acquired image information;
a sound analysis unit for obtaining sound information, which is auditory environment information about the surrounding environment, and analyzing the obtained sound information;
a motion acquisition unit that detects a user's motion and acquires motion information;
a behavior pattern analysis unit for learning a user's behavior based on the environment information and the motion information, and analyzing the user's behavior pattern for each time period based on the learned result; and
A smart lighting device comprising a lighting control unit for controlling the brightness of the lighting for each time period based on the analyzed behavioral pattern of the user for each time period, and controlling the brightness of the light by detecting the reserve power of the smart lighting device. The method of claim 1,
The behavior pattern analysis unit,
A smart lighting device for storing at least one of the image information and the sound information based on the user's behavior pattern. 3. The method of claim 2,
The behavior pattern analysis unit,
A smart lighting device that acquires power state information and determines whether to store at least one of the user's image information and the sound information based on the power state information. A method for a smart lighting device to provide power-sensitive smart lighting, the method comprising:
acquiring at least one of image information that is visual environmental information about the surrounding environment of the smart lighting device and sound information that is audible environmental information about the surrounding environment;
obtaining motion information by identifying the user's movement;
learning a user's behavior based on at least one of the environmental information and the motion information, and analyzing the user's behavioral pattern for each time period based on the learned result; and
Controlling the brightness of the lighting for each time period based on the analyzed behavior pattern of the user for each time period, comprising the step of controlling the brightness of the light by sensing the reserve power of the smart lighting device, a smart lighting providing method. 5. The method of claim 4,
The smart lighting providing method comprises:
The method further comprising the step of storing the acquired at least one of the image information and the sound information, smart lighting providing method. 6. The method of claim 5,
The saving step is
Acquiring power state information, and determining whether to store at least one of the user's image information and the sound information based on the power state information.

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