For the efficient management of toll booths, automatic number plate recognition (ANPR) is a critical technology. Because of the growing number of vehicles on the road, there is a need for a more sophisticated and efficient system to handle the flow of traffic. The aim of this paper is to propose a solution to the problem of toll booth congestion in India using YOLOv7 with optical character recognition (OCR). The proposed system is aimed at recognizing Indian number plates in real-time and providing an end-to-end solution for the users in the form of a mobile application. The goal is to streamline the toll booth process and reduce the waiting time for commuters. This paper presents a comprehensive overview of the proposed solution and its performance evaluation.


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    Titel :

    Automated Toll System Using License Plate Identification


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Choudrie, Jyoti (Herausgeber:in) / Mahalle, Parikshit N. (Herausgeber:in) / Perumal, Thinagaran (Herausgeber:in) / Joshi, Amit (Herausgeber:in) / Hingorani, Bhavya (Autor:in) / Makhija, Kristy (Autor:in) / Sharma, Sristi (Autor:in) / Roychowdhury, Sukanya (Autor:in)

    Kongress:

    International Conference on Information and Communication Technology for Intelligent Systems ; 2023 ; Ahmedabad, India April 27, 2023 - April 28, 2023


    Erschienen in:

    IOT with Smart Systems ; Kapitel : 51 ; 577-586


    Erscheinungsdatum :

    31.08.2023


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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