The Automatic recognition of license plate is the basis of effective management in traffic, the automatic detection and localization of license plate is an important part. License plate detection and contain how to extract or segment the license plate region from the license plate image a new deep learning network structure was designed, and designed network structure was used to detect and locate the license plate automatically. The system proposed by us involves automatic detection of vehicles that break the traffic rules at respective signals and registration number for every vehicle is recognized. The vehicle number detected is searched in the database for type of vehicle and owner’s information. This information is used to generate e-challan in the name of the person who owes the vehicle directly and instantly and send appropriate fine message to the owner. So it will be more efficient and will require less human intervention.


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    Titel :

    Automatic Traffic E-challan Generation Using Computer Vision


    Weitere Titelangaben:

    Lect. Notes on Data Eng. and Comms.Technol.


    Beteiligte:
    Karrupusamy, P. (Herausgeber:in) / Chen, Joy (Herausgeber:in) / Shi, Yong (Herausgeber:in) / Dhage, Manisha R. (Autor:in) / Patil, Gaurav V. (Autor:in) / Mistry, Shrayank J. (Autor:in) / Tambe, Prathamesh N. (Autor:in) / Nankar, Parag H. (Autor:in)

    Kongress:

    International Conference on Sustainable Communication Networks and Application ; 2019 ; Erode, India July 30, 2019 - July 31, 2019



    Erscheinungsdatum :

    2019-11-07


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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