基于字符识别和图像处理的数字编码违规者云检测与实时通信

J. T. Sese, Ramon G. Garcia, Ervin Jay V. Galvan, Joseph V. Rodriguez, J. M. B. Santos, S. Miaou
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引用次数: 2

摘要

“车辆统一减容计划”的实施是为了减少特定地区的车辆数量,以减少交通拥堵,根据车辆号牌尾号的日期限制车辆。本研究的目的是通过字符识别和图像处理,利用基于云的数字编码违规者检测和实时通信,加强和自动化对车辆减容违规者的检测。通过使用树莓派,网络摄像头和监视器,该研究旨在创建一个经济有效的数字编码违规检测器,可以通知违规者并将日志保存在数据库存储中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud based Detection and Real-Time Communication of Number Coding Violators through Character Recognition and Image Processing
The Unified Vehicular Volume Reduction Program was implemented to reduce the number of cars in a particular area as to lessen traffic congestions by restricting cars depending on the day with the corresponding last digit of the vehicle's plate number. The purpose of this study is to reinforce and automate the detection of violators of the vehicular volume reduction using a cloud based detection and real-time communication of number coding violators through character recognition and image processing. With the use of a Raspberry Pi, a web camera, and a monitor, the research aims to create a cost-effective number coding violation detector that can notify the violator as well as keep the logs in a database storage.
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