Enhanced Automotive Security System

Over the last few decades, individual transportation has increased remarkable rate at the worldwide. Increase in crime rate of vehicle theft is now a days, a challenging one. Wide spectrum of vehicle, mainly car is considered in this system. The purpose of this study greatly improves security measures by smoothly integrating face recognition, QR code, anti-spoofing in an Enhanced Automotive Security System. This system will help the individual to secure their vehicle from theft or unauthorized attempt, where the image will be captured by the external camera and it will be immediately sent to the owner of the vehicle, enabling them to take necessary action. By implementing this technique, is affordable when compared to expensive cars. Further QR code methodology is provided for guest access, and anti-spoofing technology is also added to this feature. This security system can be fixed in an affordable way by using, accessible components, such as camera, Raspberry Pi, Arduino, Python library, GSM Module, Relay Module, SD Card Module, Embedded C, YOLOv8 algorithm, QR Code and Chatbot.