Volume 2 - Issue 3, May - June 2026

Road traffic violations are a growing concern in densely populated countries like India, where manual enforcement systems fail to provide consistent, round-the-clock monitoring. This paper presents an Automated Traffic Violation Monitoring System that leverages Artificial Intelligence (AI) and Computer Vision techniques to detect violations in real time. The system continuously monitors road intersections through video footage, automatically detects vehicles that cross traffic signals during a red phase, extracts license plate numbers using Open ALPR (Automatic License Plate Recognition), and immediately notifies vehicle owners via GSM technology. The Harrcascade car detection model integrated with OpenCV is employed for vehicle detection and classification, while a Python-based graphical user interface enables administrators to manage and monitor violations without manual coding. The proposed system eliminates human dependency in traffic enforcement, operates continuously at intersections, reduces tampering risks, and provides a cost-effective, scalable solution to improve road safety.

Dr.A.Rajesh, Peta Prasanthi, Kuruba Sai Nikhil, Kukudala Abhilash Reddy,"Automated Traffic Violation Monitoring System With AI & Computer Vision" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(3): Page(571-574) May-June 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.