Traffic Rules Violation Detection System


Authors : Hirnaik Ashlesha Padmakar; Malvanakar Gururaj Pradeep; Rakshe Omkar Ravindra; Ahire Hrishikesh Sachin; Vidya Gogate; Dr. Sarika Bukkawar

Volume/Issue : Volume 8 - 2023, Issue 6 - June

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/mv6psput

DOI : https://doi.org/10.5281/zenodo.8112694

Abstract : This paper represents design and implementation of Traffic Rules Violation Detection System. The traffic rules violation detection system is an advanced technology that can identify and analyze traffic violations using computer vision techniques. The system uses cameras installed at traffic junctions to capture images and videos of vehicles violating traffic rules. These images and videos are then processed using artificial intelligence algorithms to detect and classify the type of violation, such as jumping a red light, overspeeding, or lane violation. The system can also generate automated alerts and notifications to law enforcement agencies to take action against the violators. The system helps in reducing the number of accidents and improving overall road safety by enforcing traffic rules and regulations.

Keywords : Python,OpenCV, Image Processing.

This paper represents design and implementation of Traffic Rules Violation Detection System. The traffic rules violation detection system is an advanced technology that can identify and analyze traffic violations using computer vision techniques. The system uses cameras installed at traffic junctions to capture images and videos of vehicles violating traffic rules. These images and videos are then processed using artificial intelligence algorithms to detect and classify the type of violation, such as jumping a red light, overspeeding, or lane violation. The system can also generate automated alerts and notifications to law enforcement agencies to take action against the violators. The system helps in reducing the number of accidents and improving overall road safety by enforcing traffic rules and regulations.

Keywords : Python,OpenCV, Image Processing.

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