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Dynamic traffic rule violation monitoring system using automatic number plate recognition with SMS feedback

机译:动态车牌违规监控系统,具有自动车牌识别和短信反馈功能

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In the last couple of decades, number of vehicles has been increased drastically. Hence it has become very difficult to keep track of each and every vehicle for the purpose of traffic management and the law enforcement. Use of Automation number Plate Recognition is increasingly now days for maintaining traffic activities and as similar to the method of automatic electronic toll collection. In the past, from the survey many techniques and algorithms have been proposed for number plate detection and recognition, each technique having its own advantages and disadvantages. The fundamental step in number plate detection is localization of a number plate. The proposed Automatic Number Plate Recognition (ANPR) System is based on an image processing technology. The proposed system can be mainly used to monitor road traffic activities such as the identification of vehicle during traffic violations such as speed of vehicle and to detect at the street traffic signals lane violation. And thereby can be traced every vehicle for traffic rule violation and can provide the information to the concern authority to take further effective action, so we can have smooth traffic flow and also we can avoid accidents occurring on the traffic junction. This system can also be used to assist the authorities in identifying for any stolen vehicle. The proposed system first detects for any vehicle which violates traffic rule and then captures the vehicle image. From the captured image using image segmentation technique the vehicle number plate region will be extracted. And the technique used for the character recognition on number plate is Optical character recognition. The system is implemented and simulated using Matlab. Next we have feedback system i.e., the vehicle number which is extracted using the proposed ANPR algorithm from PC which is then given to GSM modem for further SMS feedback system to the user and concern authority. The system design also involves the design and development of GUI using Matlab, to ease the user in step by step recognizing the characters and numbers from the vehicle license plate and displaying on the desktop GUI screen.
机译:在过去的几十年中,车辆数量急剧增加。因此,为了交通管理和执法的目的,跟踪每辆车已经变得非常困难。如今,越来越多的人使用自动化车牌识别来保持交通活动,并且类似于自动电子收费系统。过去,从调查中提出了许多用于车牌检测和识别的技术和算法,每种技术都有其自身的优缺点。车牌检测的基本步骤是车牌的定位。提出的自动车牌识别(ANPR)系统基于图像处理技术。所提出的系统可以主要用于监视道路交通活动,例如在诸如交通速度之类的交通违章期间识别车辆,以及检测在街道上的交通信号车道违规。从而可以跟踪每辆车违反交通规则的情况,并可以向有关当局提供信息以采取进一步有效的措施,这样我们就可以拥有顺畅的交通流,还可以避免在交通路口发生事故。该系统还可用于协助当局识别任何被盗车辆。所提出的系统首先检测任何违反交通规则的车辆,然后捕获车辆图像。使用图像分割技术从捕获的图像中提取车牌区域。车牌上字符识别的技术是光学字符识别。该系统使用Matlab进行实现和仿真。接下来,我们有了反馈系统,即使用提出的ANPR算法从PC提取的车辆编号,然后将其提供给GSM调制解调器,以进一步将SMS反馈给用户并引起相关机构的注意。系统设计还涉及使用Matlab进行GUI的设计和开发,以使用户逐步识别车牌上的字符和数字并在桌面GUI屏幕上显示,从而使用户轻松。

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