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Aplikasi Pendeteksi Plat Nomor Kendaraan Berbasis Raspberry Pi Menggunakan Website Untuk Pelanggaran Lalu Lintas

机译:基于Raspberry PI的车辆编号板检测应用程序使用网站进行交通违规

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摘要

Motorized vehicles in Indonesia consist of two-wheeled vehicles and four-wheeled vehicles. The number of motorized vehicles is increasing every year. The higher the vehicle volume the higher the level of traffic violations. Every violator will be charged a ticket by the ticketing officer if the vehicle user does not obey the driving rules. The ticketing process in Indonesia is still manually using paper by writing violations committed by violators on a piece of paper. This article is an attempt to make it easier for the public and police in traffic violations. This article is designed for vehicle license plate detection applications and traffic violation websites. The plate identification process begins with taking a plate image through a Raspberry Pi-based camera or webcam. The plate image results using the Raspberry Pi camera are carried out by processing the vehicle plate digital image by segmentation methods and Optical Character Recognition (OCR) using matlab. The vehicle plate character results obtained are used as input to identify traffic violations. The form of traffic violations can be seen on the traffic ticket website. Based on the results of OCR testing proved to be able to recognize the image of the vehicle plate. Raspberry Pi based camera for long distance or wireless communication. The results from the traffic ticket website are used as evidence to process motorists who have violated traffic.
机译:印度尼西亚的电动车辆由两轮车辆和四轮车辆组成。电动车辆的数量每年都在增加。车辆体积越高,交通违规水平越高。如果车辆用户没有遵守驾驶规则,则每次违规者都会被票务官员收取票据。印度尼西亚的票务流程仍然通过撰写违规者在一张纸上撰写违规行为来手动使用纸张。本文试图让公共和警察在交通违规方面更容易。本文专为车辆车牌检测应用和交通违规网站而设计。板识别过程开始通过覆盆子PI基相机或网络摄像头拍摄板材图像。通过使用MATLAB通过分段方法和光学字符识别(OCR)处理车辆板数字图像来执行使用覆盆子PI相机的板图像结果。获得的车辆板字符结果用作输入以识别交通违规行为。交通票据网站可以看到交通违规的形式。基于OCR测试的结果证明能够识别车辆板的图像。基于覆盆子PI的相机,用于长距离或无线通信。交通票网站的结果用作处理违反交通的驾驶者的证据。

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