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

机译:机构停车场的基于无人机的汽车牌照识别系统

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Unmanned aerial vehicles (UAVs), also known as drones havemany applications and they are a current trend across many industries.They can be used for delivery, sports, surveillance, professionalphotography, cinematography, military combat, naturaldisaster assistance, security, and the list grows every day. Programmingopens an avenue to automate many processes of dailylife and with the drone as aerial programmable eyes, security andsurveillance can become more efficient and cost effective. AtBarry University, parking is becoming an issue as the numberof people visiting the school greatly outnumbers the convenientparking locations. This has caused a multitude of hazards in parkinglots due to people illegally parking, as well as unregisteredvehicles parking in reserved areas. In this paper, we explain howautomated drone surveillance is utilized to detect unauthorizedparking at Barry University. The automated process is incorporatedinto Java application and completed in three steps: collectingvisual data, processing data automatically, and sending automatedresponses and queues to the operator of the system.
机译:无人机(UAV)也称为无人机,在许多行业中都是当前趋势,可用于交付,体育,监视,专业摄影,摄影,军事战斗,自然灾害援助,安全,并且数量不断增加每天。编程开辟了一条途径,可以使日常生活的许多过程实现自动化,而无人机就像空中可编程的眼睛一样,可以提高安全性和监视效率和成本效益。在巴里大学,停车问题正成为一个问题,因为参观学校的人数大大超过了方便的停车地点。由于有人非法停车以及在保留区停车的未注册车辆,这在停车场中造成了许多危害。在本文中,我们解释了如何利用自动无人机监视来检测巴里大学的未经授权的停车。自动化过程被合并到Java应用程序中,并分三个步骤完成:收集可视数据,自动处理数据以及向系统操作员发送自动响应和队列。

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