Design of Anti-Theft Recognition System Using Kanade-Lucas-Tomasi based feature extraction method

The rampant issue of vehicle theft on a global scale demands more effective security solutions. Traditional methods like keys and alarms have shown limitations in deterring theft. This paper presents a novel approach utilizing face recognition technology to authenticate authorized users of vehicles. By employing a Raspberry Pi circuit and a camera, the system captures and registers the owner’s facial features. Once registered, only authorized individuals can initiate the vehicle’s operation. In the event an unauthorized user attempts to access the vehicle, the system conducts a facial scan and verifies it against the registered profile. If a match is not found, access is denied, and an alarm is triggered.