Automated Traffic Monitoring System with Integrated Accident Detection, Violation Reporting, and Emergency Vehicle Traffic Management

This paper presents an advanced automated system designed for real-time vehicle speed detection, traffic violation enforcement, accident detection, and emergency vehicle traffic management. Utilizing cutting-edge computer vision, image processing, and machine learning techniques, the system detects traffic violations such as speeding, red-light breaches, lane deviations, and accidents. In addition, the system automatically fetches vehicle owner details via license plate recognition, generates violation reports, and sends email notifications with fine receipts. In the case of an accident, the system alerts the nearest police station and notifies emergency services for swift response. Furthermore, the system ensures efficient ambulance movement by dynamically adjusting traffic lights in coordination with traffic controllers. The proposed system significantly reduces manual intervention, optimizes law enforcement, enhances emergency response, and improves traffic flow in real-time.