All toll booths on highways are manually operated, with an attendant taking the driver's payment. We frequently experience gridlock at the toll booths on congested highways because this procedure can be slow. Time, effort, and human resources will be saved by automating the toll collection process. In this work, we propose a low-cost and effective method for collecting tolls called Smart Toll Collection using Automatic Number Plate Recognition (ANPR) that automatically recognises the vehicle's number plate after applying various pre-processing techniques to the input image of the car. The number plate could then be masked and segmented out either by detecting contours or by using the CNN, after which it could be recognised using Tesseract (OCR). When they pass through the toll plaza, the toll will be deducted from the account of the owner. Additionally, the owner will be informed that the vehicle entered the toll plaza at the specified time. We also assume that the owner keeps an electronic wallet, so that tolls are automatically deducted from the account at the toll booth upon identification of that specific licence plate. The shortcomings of the current manual and semi-automatic RFID system can be resolved by using this method of toll collection. This toll collection procedure will save time, effort, manpower and enhanced security features.


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    Title :

    Smart Toll System with Theft Detection Using Tesseract


    Contributors:
    Devesh (author) / Stuti, Nagar (author)


    Publication date :

    2024-08-02


    Size :

    488416 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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