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@article{183556,
        author = {Amith Alfred and Ambika.B},
        title = {Vehicle insurance checking using ML algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {2036-2043},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183556},
        abstract = {Managing traffic rule compliance has become increasingly challenging for authorities due to rapid population growth and the surge in vehicular movement. Traditional methods of penalizing traffic violators rely heavily on manual intervention, which is both time-consuming and disruptive to efficient transportation flow. This paper introduces an innovative approach for automating E-challan generation by leveraging Automatic Number Plate Recognition (ANPR) technology. The system employs strategically mounted ANPR-enabled cameras in conjunction with CCTV infrastructure, utilizing advanced image processing and Optical Character Recognition (OCR) techniques to promptly identify vehicles involved in violations by extracting their registration details. This automated framework aims to reduce dependence on manual labor while significantly improving the precision and efficiency of traffic law enforcement.},
        keywords = {Automated E-Challan Generation, Automatic Number Plate Recognition (ANPR), Traffic Violation Detection, Image Processing Techniques, Optical Character Recognition (OCR)},
        month = {August},
        }