Real- Time Traffic Violation Detection Using Deep Learning Approach

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Praveen Blessington Thummalakunta, Manav More, Rhutuja Kakade, Omkar Nagare, Rutuja Sawant


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.

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How to Cite
Praveen Blessington Thummalakunta. (2024). Real- Time Traffic Violation Detection Using Deep Learning Approach. International Journal on Recent and Innovation Trends in Computing and Communication, 12(2), 406–414. Retrieved from