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Automatic Number Plate Recognition Using Raspberry Pi2 in Shovel-Dumper Combination

机译:铲斗-翻斗车组合中使用Raspberry Pi2的自动车牌识别

摘要

A designing of a system which captures the image of the number plate automatically of a Shovel-Dumper combination and these details were verified using Raspberry Pi2 processor for authentication. This system captures the number plate of shovel and dumper further processing for the character recognition. Automation is the most frequently spelled term in the field of electronics. The hunger for automation brought many revolutions in the existing technologies. This paper makes use of an onboard computer, which is commonly termed as Raspberry Pi2 processor. It acts as heart of the project. This onboard computer can efficiently communicate with the output and input modules which are being used. The device which is able to perform the task is a Raspberry Pi2 processor. When any vehicle passes by the system, the image of the number plate of every vehicle is captured using camera. The image of the number plate details are fed as input to the Raspberry Pi2 processor. The Processor takes responsibility to check the authentication details of every shover and dumper. Once the details are recognized then the processor operates it detects an unauthorized image of number plate was detected. To perform this task, Raspberry Pi processor is programmed using embedded ‘Raspbian’.
机译:系统的设计可以自动捕获Shovel-Dumper组合的车牌图像,并使用Raspberry Pi2处理器进行身份验证来验证这些详细信息。该系统捕获铲子和翻斗车的车牌,以进行进一步的字符识别。自动化是电子领域中最常用的术语。对自动化的渴望带来了现有技术的许多革命。本文使用的是机载计算机,通常称为Raspberry Pi2处理器。它是项目的核心。该车载计算机可以有效地与正在使用的输出和输入模块进行通信。能够执行任务的设备是Raspberry Pi2处理器。当有任何车辆经过系统时,会使用相机捕获每辆车的车牌图像。车牌详细信息的图像作为输入输入到Raspberry Pi2处理器。处理器负责检查每个交换器和转储器的身份验证详细信息。一旦识别出细节,则处理器操作,它将检测到检测到的车牌未授权图像。为了执行此任务,使用嵌入式“ Raspbian”对Raspberry Pi处理器进行编程。

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    Gupta Nisha;

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  • 年度 2016
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