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Unmanned Aerial Vehicle-based Automobile License Plate Recognition System for Institutional Parking Lots

机译:基于无人的空中车辆汽车车牌识别系统,用于制度停车场

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Unmanned aerial vehicles (UAVs), also known as drones have many applications and they are a current trend across many industries. They can be used for delivery, sports, surveillance, professional photography, cinematography, military combat, natural disaster assistance, security, and the list grows every day. Programming opens an avenue to automate many processes of daily life and with the drone as aerial programmable eyes, security and surveillance can become more efficient and cost effective. At Barry University, parking is becoming an issue as the number of people visiting the school greatly outnumbers the convenient parking locations. This has caused a multitude of hazards in parking lots due to people illegally parking, as well as unregistered vehicles parking in reserved areas. In this paper, we explain how automated drone surveillance is utilized to detect unauthorized parking at Barry University. The automated process is incorporated into Java application and completed in three steps: collecting visual data, processing data automatically, and sending automated responses and queues to the operator of the system.
机译:无人驾驶飞行器(无人机),也称为无人机有许多应用,它们是许多行业的当前趋势。它们可用于交付,体育,监控,专业摄影,电影摄影,军事战斗,自然灾害援助,安全,并每天增长。编程开设了一个途径,以自动化日常生活的许多过程,并且随着空中可编程的眼睛,安全性和监视可能变得更加高效和成本效益。在谷谷大学,停车正在成为一个问题,因为拜访学校的人数大大数量寡不越方便的停车位。由于非法停放的人,这引起了在停车场中的多种危险,以及在保留区域停放的未注册车辆。在本文中,我们解释了如何利用自动化无人机监测来检测在巴里大学的未经授权的停车处。自动化进程被纳入Java应用程序并完成三个步骤:收集可视数据,自动处理数据,并将自动响应和队列发送到系统的运营商。

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