Traffic Violation Detection

Abstract

Traffic violations pose significant safety risks and are a growing concern in urban areas. It requires a scalable solution for monitoring and enforcement. There is no alternative for being on the roads but automation may undoubtedly aid the traffic police by reducing the workload associated with booking offenses. Even while this can aid in the recording of violations. The presence of interceptors and police officers on the road tends to serve as a deterrent to traffic violations. This study examines the artificial intelligence role in traffic violation detection. The overall summary of the literature in this field is about classifying different types of detection models over traffic violations and comparative analysis of previous work done in this field.