• Manas
• Chihit Gaur
• Abhishek Tyagi

One of the biggest worries in the world today is traffic accidents. Daily accident rates are progressively rising. Accidents are a worry not just for one nation, but for the entire world. Today, every profession requires complete focus on the task at hand. And when it comes to driving, the most important factor is the driver's alertness. Data show that drunk driving causes 21% of all fatal accidents. About 168 million adult drivers, or 60% of all drivers, admitted to driving while fatigued in the previous year [5]. This system will help in achieving the goal by using some technologies like OpenCV2, YOLOv3. Around the world, traffic accidents are a leading cause of disability and fatalities. Intelligent vehicle management does not primarily rely on human resources to eliminate human error and improve congestion relief. An intelligent control system based on RFID technology is being introduced in this article. Vehicles are connected to computer systems, intelligent light poles, and other accessible hardware along the path with the use of RFID technology. This proposal uses an intelligent control system that can rack all cars, handle crises, direct traffic, and record traffic infractions along the roadway.

Traffic violation detection, Object detection, Computer vision, Image processing, Tensorflow

"Traffic Violation Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l586-l589, May-2023, Available :http://www.jetir.org/papers/JETIR2305B81.pdf

"Traffic Violation Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl586-l589, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B81.pdf