Blockchain Driven Automated Traffic Violation Detection and Management System in India

In India, ongoing discussions surround new traffic offenses demerit points regulation, prompting the creation of a blockchain model as a potential resolution. Serving as a Proof of Work (PoW) system, this model integrates application and blockchain layers with smart contracts as conditional filters, aligning with regulatory rules. Consisting of three contracts, it manages the entire process, from declaring offense demerit points to imposing fines and penalties, including license revocation upon reaching a specific demerit point threshold. These contracts execute automatically when conditions are met. The model, deployed in an online environment with synchronized servers, underscores blockchain’s decentralized nature, developed using NodeJS and maintaining JSON format for transactions. A user interface, serving as a simulation medium, enables traffic officers to input offenses and the public to check license status on the blockchain. Government officers benefit from a dashboard analytic tool for record monitoring, facilitating evaluations that confirm the proper execution of smart contracts compared to real regulations. In addition to blockchain technology, this model integrates advanced deep learning and tracking algorithms such as YOLO (You Only Look Once) and SORT (Simple Online and Realtime Tracking) to enhance real-time detection and monitoring of traffic violations. YOLO facilitates fast and accurate vehicle detection in video streams, while SORT provides efficient and reliable tracking of vehicles across frames. This combination not only supports the robust enforcement of traffic laws through the blockchain's immutable ledger but also significantly improves the system's capability to monitor and analyze traffic flow and violations dynamically.