异物碎片识别:一种低虚警率、低成本的异物碎片识别方法

T. Khan, M. Alam, K. Kadir, Z. Shahid, M. Mazliham, Sheroz Khan, M. Miqdad
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引用次数: 8

摘要

机场的异物碎片(FOD)是造成飞机损坏、基础设施损坏、人员伤亡等事故的主要原因。因此,异物碎片(FOD)是航空、机场、飞机和乘客安全的最大威胁。由于异物碎片的大小和体积多样化,其识别非常复杂。为了航空和旅客的安全,需要强大的异物碎片识别系统。为了准确、精确地对异物碎片进行调查,开展了各种研究方法。在本研究中,我们提出了一种具有成本效益的异物碎片(FOD)检测方案,与其他现有趋势相比,该方案具有更低的误报率。为了完成这项任务,我们设计了一个原型,该原型由窗帘传感器作为主要传感器,超声波接近传感器作为次要传感器以及带有图像处理算法的相机组成。实验结果表明,本文提出的快速识别外来物体碎片(FOD)的方法在经济上优于现有的其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Foreign objects debris (FOD) identification: A cost effective investigation of FOD with less false alarm rate
Foreign Objects Debris (FOD) at Airports can be considered as a main cause of accidents that includes aircrafts damage, infrastructure and human lives loss. Therefore, Foreign Objects Debris (FOD) is the topmost intimidation for the security of aviation, airports, aircrafts and passengers. It is very complex to identify the Foreign Objects Debris (FOD) due to its diversification is size and volume. For the security of aviation and passengers, robust Foreign Objects Debris (FOD) identification system is needed. Various research approaches have been carried out for the accurate and precise investigation of Foreign Objects Debris (FOD). In this research paper we have proposed a cost effective Foreign Objects Debris (FOD) detection solution with less false alarm rate compared to the other existing trends. To accomplish the task, we designed a prototype comprised of curtain sensor as primary transducer and an ultrasonic proximity sensor as a secondary transducer along with a camera with image processing algorithm. Experimental results proved that rapid identification of Foreign Objects Debris (FOD) by our proposed research worked better than the other available techniques economically.
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