Abstract
In India the main transport system is the road network. Government design different plans for transport system like national highways under development. The administration consents to arrangement with the privately owned businesses who manufacture the foundation for national highways for a definite time. The private agencies deduct the amount from the vehicles which are passed on that recently developed the highways. Vehicle detection is the crucial step in the toll collection management system. There are various ways of implementing a toll charging system including manual toll charging, RFID systems and barcodes. However, these techniques are error prone while charging the toll system. In this paper we propose a framework using Tesseract OCR and Raspberry Pi. If an input is passed to Raspberry Pi, then the Raspberry Pi detects and charges an amount for the vehicle by using the web server and its database. Finally an alert message is pushed to the vehicle owner’s mobile number after deducting the amount from the user’s account.
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Vijaya Krishna, A., Naseera, S. (2019). Vehicle Detection and Categorization for a Toll Charging System Based on TESSERACT OCR Using the IoT. In: Kumar, A., Mozar, S. (eds) ICCCE 2018. ICCCE 2018. Lecture Notes in Electrical Engineering, vol 500. Springer, Singapore. https://doi.org/10.1007/978-981-13-0212-1_20
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DOI: https://doi.org/10.1007/978-981-13-0212-1_20
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