Real- Time Traffic Violation Detection Using Deep Learning Approach

Abstract

This project tackles the growing issue of traffic violations in India. With a large population, rising commutes, and limitations in traditional traffic management, a real-time solution is crucial. This project proposes a deep learning approach for real-time traffic violation detection specifically designed for Indian traffic scenarios.

The system utilizes YOLOv8, a state-of-the-art object detection algorithm from Ultralytics, to identify and classify traffic violations in real-time video feeds. This approach aims to improve traffic safety and enforcement by automating violation detection.