Design of Car Anti-theft System Based on Face Recognition

Vehicle theft has become a major security concern, creating the need for intelligent and automated vehicle protection systems. This project presents a Car Anti-theft System Based on Face Recognition using image processing and authentication techniques for improved vehicle security. The proposed system uses an Arduino microcontroller integrated with a USB webcam for face detection and recognition. Python-based face recognition algorithms are used to verify authorized users before allowing vehicle access. An LCD display is used to show authentication status and system conditions. If an authorized face is detected, the Arduino controls a motor driver and DC motor to indicate that the car has started. If an unauthorized person is detected, the system immediately activates a buzzer and red LED indicator for alert notification. In addition, a GSM module sends a security alert message to the vehicle owner regarding unauthorized access attempts. The proposed system improves vehicle security, prevents unauthorized car access, and supports automated anti-theft protection using face recognition, alert mechanisms, and GSM communication technology. The project provides a low-cost and efficient smart vehicle security solution using embedded systems and image processing techniques.