Intelli Ride: AI-Powered Triple Riding and Helmet Compliance Detection with Automated License Plate Recognition using Computer Vision

Triple riding with non-helmet usage detection stands as a vital practice for road security enforcement. Through deep learning and computer vision technology automated surveillance systems now perform effective tracking of road safety violations. The presented system incorporates YOLO-based object detection with PaddleOCR license plate recognition to perform its AI- driven operations. The system runs real-time tracking of helmets along with triple riding behaviours before storing violation data in an SQLite database for examination purposes. Experimentation revealed that the object detection capability reached 92% accuracy while OCR- based license plate recognition accuracy amounted to 88%. The system contains an automatic alert system which supports enforcement agencies. Through its application framework the proposed system improves road safety by enhancing law enforcement operations while cutting down manual work processes.