首页> 外文会议>Proceedings of the international conference on communications and cyber physical engineering 2018 >Vehicle Detection and Categorization for a Toll Charging System Based on TESSERACT OCR Using the IoT
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Vehicle Detection and Categorization for a Toll Charging System Based on TESSERACT OCR Using the IoT

机译:基于IoT的基于TESSERACT OCR的收费系统的车辆检测和分类

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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.
机译:在印度,主要的运输系统是公路网。政府为正在开发的国家公路等运输系统设计了不同的计划。政府同意与在一定时间内制造国道基础的私人企业进行安排。私人机构从最近发展的高速公路上通过的车辆中扣除这笔款项。车辆检测是收费管理系统中的关键步骤。有多种实现收费系统的方法,包括手动收费,RFID系统和条形码。但是,这些技术在向收费系统收费时容易出错。在本文中,我们提出了一个使用Tesseract OCR和Raspberry Pi的框架。如果将输入传递给Raspberry Pi,则Raspberry Pi通过使用Web服务器及其数据库来检测车辆并向车辆收费。最后,从用户帐户中扣除金额后,警报消息会推送到车主的手机号码。

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