Vehicle Anti-theft Face Recognition System, Speed Control and Obstacle Detection using Raspberry Pi

This project presents the design and implementation of a comprehensive Vehicle Anti-theft Face Recognition System, Speed Control, and Obstacle Detection using a Raspberry Pi as the central control unit. The system aims to enhance vehicle security, improve road safety, and provide efficient monitoring for vehicle owners. The primary components of this system include a USB camera interfaced with the Raspberry Pi for face recognition unlocking using OpenCV, an RFID reader for zone identification to control vehicle speed and ultrasonic sensor for obstacle avoidance.  The face recognition module employs OpenCV, a popular computer vision library, to capture and process images from a USB camera. This enables secure vehicle access by verifying the driver's identity through facial recognition. Authorized users are granted access, while unauthorized individuals are denied entry.

Zone identification and speed control are achieved through an RFID reader and RFID cards. Each zone is associated with a specific RFID card, allowing the vehicle's speed to be dynamically adjusted based on predefined speed limits. This feature enhances safety by ensuring that vehicles adhere to speed restrictions in designated areas. Obstacle avoidance is implemented using an ultrasonic sensor, which communicates with ultrasonic sensors to detect obstacles in the vehicle's path..

Keywords: USB Camera, Unlocking vehicle, LCD, Ultrasonic Sensor, RFID reader