Diligent Traffic Enforcement is a major problem throughout India, often focusing on corruption and abuse; is the subject of major changes initiated by senior management of all traffic police institutions in India. Therefore, this paper proposes an effective e-challan production strategy using OCR (Optical Character recognition) where the challan ends using the online application. Scanning different number plates and downloading facts from the database and producing E-Challan. The E-Challan is a web platform that provides various types of support for monitoring and managing the traffic penalties and it also helps the users to overcome the problems that they face while paying for their challan during the traffic time. The E-challan Application is the interaction between HD Cameras and drivers with the use of an online platform. The driver who will breach the traffic rule, vehicle's number plate snapshot is captured automatically by the HD Camera located near a traffic light and traffic area through Image Processing technology and Artificial Intelligence, the software will automatically detect the vehicle owner for the penalty and then apply the suitable penalty against the vehicle owner in their account. With the help of this online prototype, the challan system becomes easy for the users by keeping it online.


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    Titel :

    E-Challan Automation for RTO using OCR


    Beteiligte:
    Kumar, Rakesh (Autor:in) / Gupta, Meenu (Autor:in) / Shukla, Suyash (Autor:in) / Yadav, Ram Kumar (Autor:in)


    Erscheinungsdatum :

    02.09.2021


    Format / Umfang :

    1111621 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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