HVS-3654. Face Recognition based Vehicle Ignition Controlling System
₹15,000.00
This is an advanced system which can be utilized in many cars. Today, it is not difficult to make duplicates of vehicle keys and using such keys increases the risk of robbery. For such problems, we hereby propose an efficient and reliable solution.
Categories
ECE, EIE
Tags
Pi Camera., Raspberry Pi processor
Description
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Description
Reviews
This is an advanced system which can be utilized in many cars. Today, it is not difficult to make duplicates of vehicle keys and using such keys increases the risk of robbery. For such problems, we hereby propose an efficient and reliable solution. Our system uses face recognition system to identify the authorized users of the vehicles and only the authorized users are allowed to use the vehicle. This allows for a fast easy to use authentication system. System uses raspberry pi circuit, it consists of an LCD display, a motor & a buzzer alarm, and it also consists of a camera. When we turn on the system authority provided by 3 options that is registration, start and clear data, while registering, it first scans the owner’s face. After successful registration, the owner can start the vehicle. If an unauthorized user tries to use the car, the system scans the person’s face, and checks whether face matches with the authorized face, if it does not match the system denies and the buzzer starts. In this way system helps to secure such intelligent vehicles. The status of the project will display on LCD module. The Intelligent system proposed makes use of raspberrypi3. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’.
The objectives of the project are:
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- To design and implement of face authenticated based vehicle security system.
- To design and implement face authentication of captured image using pi camera by Python platform on Raspberry Pi.
- Using IOT for face streaming.
- The captured image is compared and verified with the database, if found matching then system accesses the vehicle.
- In case of failure of face authentication then system gives the audible indication through buzzer.
- To design and implement of the project using python platform and raspberry.
- Visible alerts using LCD display.
- Power supply.
- Raspberry Pi.
- Pi Camera.
- LCD display.
- Buzzzer.
- DC motor.
- Embedded Linux programming.
- Express SCH for Circuit design.
- Face recognition using OpenCV.
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