Automatic Detection of Traffic Violations Using Yolo Model and Challan Generation

Abstract-As the rate of traffic violations is on the rise, there arises the need for automated enforcement systems. This project is about the implementation of an automated system of e-challan generation based on the license plate detection system. Cameras positioned at the intersections take images of the vehicles violating traffic rules; using computer vision techniques, the number plates are identified and read. The system now fetches the registered mobile number of the violator and sends out an e-challan by itself, thus although removing the manual efforts with more precision [1] and effective enforcement. By using tools like OpenCV and YOLO in major towns, the project can make the roads safer and traffic flow manageable.