The goal of this project is to use the Raspberry Pi to create a facial recognition system for car access control. For future generation automobiles, this initiative adds sophisticated security measures. For the envisioned advanced system, the Raspbe
Raspberry Pi Based Vehicle Starter on Face Detection
The goal of this project is to use the Raspberry Pi to create a facial recognition system for car access control. For future generation automobiles, this initiative adds sophisticated security measures. For the envisioned advanced system, the Raspberry Pi will serve as a command module. Only authorized and registered people are allowed to operate the car due to the robust security system. Generally a key is used to unlock and start a vehicle. But our project demonstrates the unlocking and starting a vehicle using facial recognition. Which not only is efficient but also will help reduce car thefts.
This is an advanced system that 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. the system uses a face recognition system to identify the authorized users of the vehicles and only authorized users are allowed to use the vehicle. This allows for a fast easy to use the authentication system. The system uses a Raspberry Pi circuit, it also consists of a camera. When we turn on the system authority provided by 3 options that are 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. In this way, the system helps to secure such intelligent vehicle.
Generally, a key is used to unlock and start a vehicle. But our project demonstrates the unlocking and starting of a vehicle using facial recognition which is not only efficient but will also help reduce car thefts.
The main goal of this application is to enhance the security system of the vehicle, allowing to ignite the vehicle only by registered users through their face recognition.
The proposed advance system uses fac recognition to identify the authorized users of the vehicle. When the user turns on the vehicle, the advanced system will automatically be turned on as well. The advanced system authority will then provide three options for the user which are starting the vehicle, registration or addition of new users/drivers, and deleting users or clearing all the registered data. The user will first be asked to register the name and scan the his/er face. After successful registration and recognition, the user can now start the vehicle. Hence, if unauthorized personnel try to use the vehicle, the advance system will scan the person's face and check the database whether the image matches with the registered user of the vehicle. If the scanned image does not match, then a message will be displayed as “Unauthorized access” and the car will not start.
? Step 1 :Start the vehicle
? Step 2 : Initialize the Raspberry pi and camera
? Step 3 : Camera captures the image and sends it to the Raspberry pi.
? Step 4 : Raspberry pi converts image into grayscale format.
? Step 5 :Face detection takes place .
? Step 6 : The image of face is matched with the local database.
? Step 7 : The predictions according to the input image is done.
? Step 8 : Face detection result .
? Step 9 : If the face is not matched with the local database the vehicle will not start and wait for the next person is introduced.
? Step 10 : If the face is matched with the local database image the name is uploaded to the webserver
? Step 11 : it first scans the owner’s face. After successful registration, the owner can start the vehicle.
The goal of this project is to use the Raspberry Pi to create a facial recognition system for car access control. For future generation automobiles, this initiative adds sophisticated security measures. For the envisioned advanced system, the Raspberry Pi will serve as a command module. Only authorized and registered people are allowed to operate the car due to the robust security system. Generally a key is used to unlock and start a vehicle. But our project demonstrates the unlocking and starting a vehicle using facial recognition. Which not only is efficient but also will help reduce car thefts.
the proposed advance system uses face recognition to identify the authorized users of the vehicle. When the user turns on the vehicle, the advanced system will automatically be turned on as well. The advanced system authority will then provide three options for the user which are starting the vehicle, registration or addition of new users/drivers, and deleting users or clearing all the registered data. The user will first be asked to register the name and scan the his/er face. After successful registration and recognition, the user can now start the vehicle. Hence, if unauthorized personnel try to use the vehicle, the advance system will scan the person's face and check the database whether the image matches with the registered user of the vehicle. If the scanned image does not match, then a message will be displayed as “Unauthorized access” and the car will not start.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi | Equipment | 1 | 23000 | 23000 |
| Camera | Equipment | 1 | 1200 | 1200 |
| Cables and Connectors | Equipment | 20 | 500 | 10000 |
| relay | Equipment | 2 | 500 | 1000 |
| GSM | Equipment | 1 | 5500 | 5500 |
| Total in (Rs) | 40700 |
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