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Smart toll collection system using embedded Linux environment

机译:使用嵌入式Linux环境的智能收费系统

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Electronics Toll Collection system developed in India to save the time by collecting the toll electronically instead of manually. In order to provide zero delay toll collection system, so many modern toll collection systems are used like RF Tags based toll collection system, Barcode Scanner based toll collection system, and number plate recognition based toll collection system. As all the aforesaid systems are reliable, but still it's not defined as system without human interaction. The paper presents smart toll collection system using embedded Linux environment. The whole system is balanced and focused to design and develop an entirely automated license plate recognition system which will be an excellent low-cost alternative to all other systems. The entire system is design using embedded Linux development board such as Raspberry Pi. The board is most suitable for Implementing Image processing algorithm. In the suggested system one webcam is interfaced with Raspberry Pi Board which is used to capture the image of vehicle's license plate which will pass through the toll booth. These images of license plates are processed through Optical Character Recognition (OCR) engine such that image of license plate will be converted into equivalent ASCII characters. This extracted information will further send to the RTO server to identify the type of vehicle and owner of the vehicle. The retrieval information will once again send to the system through GSM module interfaced with raspberry pi. According to the type of the vehicle the nominal toll will be deducted from owner's account. After receiving the notification message on registered mobile number of the owner about the deducted amount from owner's registered account, the barrier will open and vehicle is allowed to leave the toll booth.
机译:印度开发的电子收费系统可以通过电子方式(而非手动方式)收费来节省时间。为了提供零延迟的收费系统,使用了许多现代的收费系统,例如基于RF标签的收费系统,基于条形码扫描仪的收费系统以及基于车牌识别的收费系统。由于所有上述系统都是可靠的,但仍不能将其定义为没有人机交互的系统。本文介绍了使用嵌入式Linux环境的智能收费系统。整个系统是平衡的,着重于设计和开发完全自动化的车牌识别系统,它将是所有其他系统的绝佳低成本替代品。整个系统使用Raspberry Pi等嵌入式Linux开发板进行设计。该板最适合实现图像处理算法。在建议的系统中,一个网络摄像头与Raspberry Pi Board连接,用于捕获将通过收费站的车牌图像。这些车牌图像通过光学字符识别(OCR)引擎进行处理,以便将车牌图像转换为等效的ASCII字符。提取的信息将进一步发送到RTO服务器,以识别车辆类型和车辆所有者。检索信息将再次通过与树莓派接口的GSM模块发送到系统。根据车辆类型,将从车主账户中扣除名义通行费。在从所有者的注册帐户中收到所有者的注册手机号码上有关扣除额的通知消息后,屏障将打开,车辆将被允许离开收费站。

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