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@article{181866,
        author = {Meenakshi A and Dr.S.Sasikanth and Ranjini k and Priyadharshini S},
        title = {AI-POWERED TRAFFIC COMPLIANCE AND VIOLATION MANAGEMENT SYSTEM & FINE  GENERATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {513-519},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181866},
        abstract = {This project introduces an artificial intelligence- powered traffic management system that detects helmet and seatbelt infractions in real time to improve road safety and enforce traffic compliance. The system uses YOLO (You Only Look Once) object detection technology to reliably identify violations at traffic stops, with immediate alerts presented on an LCD in the control center for live monitoring. The technology is based on a pre-registered database of vehicle owner information, which eliminates the requirement for license plate or facial recognition. When a violation is identified, the system instantly associates the occurrence with the car owner's profile, ensuring efficient tracking and fee administration. Using pre-existing data, the technology simplifies the identification process while preserving accuracy. When a violation is detected, the system uses a rule- based method with predetermined records to calculate fines. Violators receive SMS notifications with detailed payment instructions, enabling easy compliance. Furthermore, an email is delivered to the violator with the violation image, incident details, and fee breakdown, ensuring open communication and promoting speedy resolution. To improve performance, the system incorporates image preprocessing techniques like scaling, normalization, and data augmentation, which improves detection accuracy under a variety of traffic circumstances. The control room interface, powered by an embedded Arduino system, shows real-time notifications on an LCD screen, allowing traffic officials to monitor offences as they occur. This end-to-end technology transforms traffic enforcement by automating infraction identification, fee calculation, and notification.},
        keywords = {AI-Based Traffic Monitoring, YOLO Object Detection, Real-Time Traffic Compliance, Automated Fine Generation, Embedded System Integration, Smart Traffic Management},
        month = {July},
        }