基于人工智能方法和自动通过系统的车下异物检测

M. M. Özmen, Fatmanur Ateş, Muzaffer Eylence, R. Şenol, B. Aksoy
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引用次数: 0

摘要

今天,轰炸活动经常被提上日程。放置在车辆下面的炸弹装置是最常见的轰炸活动。购物中心、军营等。在一些地方,车辆可以通过用镜子检查车辆下方。这种情况可能会给检查车辆下方的人员造成错误。本研究设计了车辆通行自动控制系统。其目的是根据车牌识别系统,对即将进入军事校园的车辆进行车下图像的拍摄,并通过人工智能方法确定车辆下是否有异物后,允许这些图像以受控的方式进入军事校园。已经为所设计的系统创建了一个界面屏幕。如果进站车牌已在系统中登记,且车辆下方无异物,则打开护栏,车辆通过。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection Of Foreign Material Under Vehicle By Artificial Intelligence Methods And Automatic Passing System
Today, bombing activities are frequently on the agenda. Bomb devices placed under vehicles are the most common example of bombing activities. Shopping malls, military camps, etc. In places, vehicles are allowed to pass by checking under the vehicle with a mirror. This situation may leave the door open to mistakes that can be made by the personnel checking under the vehicle. In this study, an automatic controlled system was designed for vehicle passage. It is aimed to take under-vehicle images of the vehicles to be taken to a military campus, depending on the license plate recognition system, and to allow these images to pass into the military campus in a controlled manner after determining whether there is a foreign object under the vehicle by using artificial intelligence methods. An interface screen has been created for the designed system. If the incoming license plate is registered in the system and there is no foreign object under the vehicle, the barrier is opened and the vehicle passes.
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