E-Challan Automation for RTO using OCR

Rakesh Kumar, Meenu Gupta, Suyash Shukla, R. Yadav
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引用次数: 2

Abstract

Diligent Traffic Enforcement is a major problem throughout India, often focusing on corruption and abuse; is the subject of major changes initiated by senior management of all traffic police institutions in India. Therefore, this paper proposes an effective e-challan production strategy using OCR (Optical Character recognition) where the challan ends using the online application. Scanning different number plates and downloading facts from the database and producing E-Challan. The E-Challan is a web platform that provides various types of support for monitoring and managing the traffic penalties and it also helps the users to overcome the problems that they face while paying for their challan during the traffic time. The E-challan Application is the interaction between HD Cameras and drivers with the use of an online platform. The driver who will breach the traffic rule, vehicle's number plate snapshot is captured automatically by the HD Camera located near a traffic light and traffic area through Image Processing technology and Artificial Intelligence, the software will automatically detect the vehicle owner for the penalty and then apply the suitable penalty against the vehicle owner in their account. With the help of this online prototype, the challan system becomes easy for the users by keeping it online.
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E-Challan自动化RTO使用OCR
勤勉的交通执法是整个印度的主要问题,通常集中在腐败和滥用;是由印度所有交通警察机构的高级管理层发起的重大变革的主题。因此,本文提出了一种使用OCR(光学字符识别)的有效电子挑战生产策略,其中挑战使用在线应用程序结束。扫描不同的车牌号,从数据库下载数据,生成E-Challan。E-Challan是一个网络平台,为监控和管理交通罚款提供各种类型的支持,它也帮助用户克服他们在交通时间支付他们的challan时面临的问题。E-challan应用程序是使用在线平台的高清摄像机和驾驶员之间的交互。将违反交通规则的驾驶员,车辆的车牌快照由位于交通灯和交通区域附近的高清摄像头通过图像处理技术和人工智能自动捕获,软件将自动检测车主的处罚,然后在其账户中对车主进行适当的处罚。在这个在线原型的帮助下,通过保持在线,使用户可以轻松地使用挑战系统。
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