Detecting Traffic Rules Violations using Computer Vision

Abstract

The growing number of automobiles, particularly in urban areas, has increased traffic congestion and the likelihood of traffic offenses globally due to the growing desire for comfort and convenience. In addition to putting lives in danger, these violations highlight how urgently automated solutions that guarantee compliance with traffic laws and improve road safety are needed. Conventional enforcement techniques, which depend on manual labor, are frequently laborious and have a narrow reach. In order to overcome these obstacles, this study suggests a sophisticated system for detecting traffic violations that uses state-of-the-art computer vision methods to get high accuracy in real-time