Face recognition based vehicle security system using Raspberry pi GSM GPS based location alerts

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ABSTRACT: Face recognition based vehicle security system using Raspberry pi GSM GPS based location alerts
The main aim of the project is to provide the high security to the vehicle to avoid the vehicle theft using Raspberry pi and facial recognition.
For implementation of face recognition using pi camera which is interfaced to the raspberry pi. When the user accesses the vehicle door, he/she needs to shows the face on camera it is capture the image of the person and check this image with the stored images if it is matched the raspberry pi access the door through Electromagnetic Relay and start the vehicle. Here DC motor as a vehicle engine.
If the user face is did not matched with the stored images, then the raspberry pi active the Buzzer and processed with the shock implementation to the unauthorized person. And the raspberry pi takes the location from GPS module and send the SMS to the vehicle owner through GSM in the form of latitude and longitude values. The status of the project is display on LCD module.
The main controlling device of the project is Raspberry pi processor. All input and output modules are interfaced to the raspberry pi processor. The SD card is a key part of the Raspberry Pi; it provides the initial storage for the Operating System and files.

The features of the project are:
1. Face recognition-based vehicle accessing.
2. Using Pi camera, Raspberry pi for Face recognition.
3. The system provides Electric Shock to the unauthorized user.
4. Audible alerts using Buzzer.
5. Visible alerts using LCD display.
6. Work from anywhere in the world using GSM technology.
7. GPS based vehicle tracking.
8. Electromagnetic relay-based DOOR Unlock system.
9. Using DC motor as a vehicle engine.
10. To achieve this task using Raspberry pi ZERO processor.

The major building blocks of this project are:
1. Power supply.
2. Raspberry Pi processor.
3. Hard Disk (SD card).
4. Pi camera.
5. GSM.
6. GPS.
7. Relay with Door.
8. DC motor as vehicle.
9. Shock(stimulator)
10. LCD display.
11. Buzzer.

Software’s used:
1. Python Programming.
2. Express SCH for Circuit design.
3. OpenCV Image processing for Face recognition

Видео Face recognition based vehicle security system using Raspberry pi GSM GPS based location alerts канала HVS Technologies