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To measure the power consumption, simply we used digital multi-meter to know the current flow during two conditions (idle and process). The result of the test is elaborated in Table VIII. The power consumption in idle condition is 507.6 mW that obtained from 12 Vpc * 42.3 mA, while in process condition is 7044 mW. Fig. 9. A Setup for Functional Test of Door Lock.

Figure 9 To measure the power consumption, simply we used digital multi-meter to know the current flow during two conditions (idle and process). The result of the test is elaborated in Table VIII. The power consumption in idle condition is 507.6 mW that obtained from 12 Vpc * 42.3 mA, while in process condition is 7044 mW. Fig. 9. A Setup for Functional Test of Door Lock.

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Fig. 1. Architecture of MINDS Smart Home System.
Fig. 1. Architecture of MINDS Smart Home System.
Fig. 2. Block Diagram of the Door Lock System.
Fig. 2. Block Diagram of the Door Lock System.
Fig. 3. Circuit Diagram for the Solenoid Control.
Fig. 3. Circuit Diagram for the Solenoid Control.
Fig. 4. Flowchart for Firmware for the Door Lock Control.
Fig. 4. Flowchart for Firmware for the Door Lock Control.
Fig. 5. Flowchart for Android Application for Door Lock Control, Reproduced from [15] under Permission.
Fig. 5. Flowchart for Android Application for Door Lock Control, Reproduced from [15] under Permission.
Fig. 8. The Appearance of MINDS Application During: (a) Normal, Retrieved from [18] under Permission and (b) Locked Conditions. if(rawlock==0x00) GPIO_LOW(GPIOB,GPIO_Pin_0); else if(rawlock==0x01) GPIO_HIGH(GPIOB,GPIO_Pin_0); TABLE IL. SOFTWARE IMPLEMENTATION FOR THE DOOR LOCK ON/OFF CONTROL
Fig. 8. The Appearance of MINDS Application During: (a) Normal, Retrieved from [18] under Permission and (b) Locked Conditions. if(rawlock==0x00) GPIO_LOW(GPIOB,GPIO_Pin_0); else if(rawlock==0x01) GPIO_HIGH(GPIOB,GPIO_Pin_0); TABLE IL. SOFTWARE IMPLEMENTATION FOR THE DOOR LOCK ON/OFF CONTROL
Fig. 7. The Appearance of PCB DC12V Controller for MINDS Door Lock Device at Actual Size (40.21 mm x 39.84 mm). captures the user’s location every 5 minutes using GPS, then send the result to the server (and host), after which the host will send command to the lock device. If the house is supposed to be locked, then a warning will be sent if there is any unauthorized attempt to control the device. The code implementation for the GPS tracking is depicted in Table II, while the code implementation for the control and warning by host is depicted in Tables IV, V and VI.
Fig. 7. The Appearance of PCB DC12V Controller for MINDS Door Lock Device at Actual Size (40.21 mm x 39.84 mm). captures the user’s location every 5 minutes using GPS, then send the result to the server (and host), after which the host will send command to the lock device. If the house is supposed to be locked, then a warning will be sent if there is any unauthorized attempt to control the device. The code implementation for the GPS tracking is depicted in Table II, while the code implementation for the control and warning by host is depicted in Tables IV, V and VI.
TABLE III. © CODE IMPLEMENTATION FOR GPS TRACKING IN ANDROID APPLICATION
TABLE III. © CODE IMPLEMENTATION FOR GPS TRACKING IN ANDROID APPLICATION
TABLE IV. SOFTWARE IMPLEMENTATION FOR THE RASPBERRY PI HOST LOCATION COMPARISON
TABLE IV. SOFTWARE IMPLEMENTATION FOR THE RASPBERRY PI HOST LOCATION COMPARISON
TABLE VI. SOFTWARE IMPLEMENTATION FOR WARNING FROM RASPBERRY PI HOST
TABLE VI. SOFTWARE IMPLEMENTATION FOR WARNING FROM RASPBERRY PI HOST
TABLE VIII. POWER MEASUREMENT OF DOOR LOCK DEVICE In this paper, a prototype of location-based smart door lock system is designed. The system utilizes the user’s GPS coordinate that is captured from a mobile application, which is then sent to a smart home system’s central host to enable or disable the door lock based on the user’s proximity to the door’s designated GPS coordinates. Based on the testing conducted, it can be concluded GPS coordinates can be used for controlling door lock. However, further study is required to improve the quality of the system, whether in terms of power efficiency, area tracking and indoor accuracy, and further increase the security.
TABLE VIII. POWER MEASUREMENT OF DOOR LOCK DEVICE In this paper, a prototype of location-based smart door lock system is designed. The system utilizes the user’s GPS coordinate that is captured from a mobile application, which is then sent to a smart home system’s central host to enable or disable the door lock based on the user’s proximity to the door’s designated GPS coordinates. Based on the testing conducted, it can be concluded GPS coordinates can be used for controlling door lock. However, further study is required to improve the quality of the system, whether in terms of power efficiency, area tracking and indoor accuracy, and further increase the security.
TABLE VII. POWER MEASUREMENT Door LOCK DEVICE
TABLE VII. POWER MEASUREMENT Door LOCK DEVICE
Related topics:
Home automationZigbee NetworksSmart Home TechnologySmart HomeSmart HomesAutomatic Door LockInternet of Things (IoTs)Electronic Door Lock
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