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@article{157955,
        author = {Niket Agrawal and Omkar Tiwari and M. Shujaduddin and Mrs. Keerthana Shankar},
        title = {Virtual Traffic Police},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {8},
        pages = {259-261},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157955},
        abstract = {In the new evolving world, business rule violations have become a central issue for the maturity of developing countries. The figures for vehicles are adding fleetly as well as the figures for business rule violations are adding exponentially. Managing business rule violations has always been a tedious and compromising task. Indeed though the process of business operation has come automated, it's a veritably grueling problem, due to the diversity of plate formats, different scales, reels, and non-uniform illumination conditions during image accession. The top ideal of this design is to control business rule violations directly and bring them effectively. The proposed model includes an automated system that uses a camera grounded on a PC to capture videotape. The design presents Automatic Number Plate Recognition(ANPR) ways and other image manipulation ways for plate localization and character recognition which makes it brisk and light to identify the number plates. After fetching the vehicle number from the number plate the SMS grounded module is used to notify the vehicle possessors about their business rule violation. A fresh SMS is transferred to Regional Transport Office(RTO) for tracking the response status.},
        keywords = {Optical Character Recognition(OCR), OpenCV, CNN (Convolution neural network), image processing, violation detection},
        month = {},
        }