Study on Enhancing Traffic Law Enforcement Through Automated Smart-Challan System

Abstract: Traffic law violations have become a significant concern, contributing to the erosion of societal moral values due to widespread casual and irresponsible attitudes among drivers. Despite notable advancements in traffic laws, the persistence of human involvement in the current enforcement system remains a liability, resulting in suboptimal outcomes. This laxity fosters a culture of carelessness among drivers, exacerbated by delays and occasional inaccuracies in the delivery of paper-based and electronic challans. To address these challenges, our proposal advocates for the automation of the traffic offender identification process using advanced technologies such as object detection and tracking. By directly accessing vehicle information from the Regional Transport Office (RTO) database through number plate detection, the system generates Smart-challans promptly and accurately. These Smart-challans are then efficiently delivered to offenders via Email and SMS on the same day the offense is registered. Through this initiative, the proposed system aims to significantly enhance efficiency, accuracy, and reduce the likelihood of human error, thereby bolstering the effectiveness of traffic law enforcement efforts.

Keywords: Smart-challans, object detection, Regional Transport Office (RTO).