Protection of the vehicles from being theft is a serious issue. The Vehicle manufacturers added different automated technologies to prevent the thefts of the vehicles. But this security system can be controlled and monitored remotely/automatically to protect car.
In this proposed security system to detect the face of the driver and compare it with the previously saved face. When no one in the car and the car was parked anywhere then someone can theft the car. In this proposed system a small webcam will be hidden in the steering and when a person sits in the driver seat the webcam take the picture of the face of the person. Then it compares the face with the previously saved face if it matched then the person can access the steering wheel of the car. If the face of the person doesn’t match with the previously saved images then the steering wheel of the car will be locked automatically. Then the face of the unauthenticated person will be captured by the webcam and a message and car position will be sent to the owner’s mobile and nearest police station with the help of GSM module and Police or the owner of the car can trace the car with the help of GPS system. This face detection system uses windows IoT software and detects the unauthenticated faces. Here we also used speech recognition for the safety purpose of the car by using a password using audio module, which also helps to unlock the car.
Keywords: Raspberry pi, Facial Recognition, Voice module, GPS system, GPRS, GSM technology.
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