Trafine- Smart Traffic Fine Management System
Authors:-Kripa Shankar Pathak, Tanvi Singh, Shivani Yadav, Rishu Kumari
Abstract-:The rapid rise in urban traffic has heightened the necessity for effective and clear systems to manage traffic violations. Conventional approaches to issuing and managing traffic fines are frequently hindered by inefficiencies, human error, delays, and a lack of accountability. This paper presents a Smart Traffic Fine Management System (STFMS) that utilizes cutting-edge technologies such as the Internet of Things (IoT), image processing, cloud computing, and real-time data analytics to automate the identification, documentation, and penalization of traffic infractions. The system combines traffic surveillance cameras with license plate recognition, violation detection algorithms, and a centralized database to issue fines immediately. It also features an intuitive mobile and web interface that allows drivers to view, contest, or pay their fines securely. By automating the complete process of traffic fine management, the proposed system improves transparency, minimizes corruption, and ensures prompt enforcement of traffic regulations, ultimately leading to safer and more orderly road usage. Consequently, individuals are unable to complete the necessary tasks on schedule, resulting in a waste of both time and effort. Additionally, vehicle owners sometimes neglect to bring their licenses and other required documents during inspections. To address these issues, it’s essential to consolidate all vehicle and driver information into a centralized database managed by the chief director of the RTO.
