An Implementation of Outdoor Vehicle Localization and Tracking Using Automatic License Plate Recognition (ALPR)

P. Kanakaraja, K. S. Kumar, L. S. Nadipalli, V. AswinKumerS., K. Kavya
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Abstract

Controlling the traffic in the metropolitan cities and the identification of the owner of a particular vehicle becomes a difficult task throughout the world. Though traffic police, interceptor units and CCTV surveillance system etc. are in place for implementation of road safety rules, if the vehicle violates the traffic rules then the system must identify the vehicle details as well as the owner of the vehicle but it is not easy, if the vehicle displacement is very high. In all these cases getting a glimpse of vehicle number plate of the miscreant helps in reducing the effort and time to track him down. Automatic License Plate Recognition (ALPR) is one of the solutions to this problem. In this paper the outdoor localization for crime investigation ALPR with Pressure-based localization is proposed to find out the vehicles. Camera in place will capture the image of the Number plate automatically using the Raspberry-Pi 4.The Pressure-based localization is implemented along with the Automatic license Plate Recognition to improve the accuracy and tracing the vehicles.
利用自动车牌识别(ALPR)实现室外车辆定位与跟踪
在世界范围内,控制大城市的交通和识别特定车辆的所有者已成为一项艰巨的任务。虽然有交通警察、拦截装置和闭路电视监控系统等来执行道路安全规则,但如果车辆违反交通规则,那么系统必须识别车辆的详细信息以及车辆的所有者,但如果车辆排量非常高,这并不容易。在所有这些情况下,看到肇事者的车牌号有助于减少追踪他的努力和时间。车牌自动识别(ALPR)是解决这一问题的方法之一。本文提出了一种基于压力定位的犯罪侦查ALPR室外定位方法。相机在适当的地方将捕获的图像车牌自动使用树莓派4。基于压力的定位与自动车牌识别一起实施,以提高准确性和跟踪车辆。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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