Development of an ultra wide band microwave radar based footwear scanning system

N. Rezgui, N. Bowring, D. Andrews, S. Harmer, M. Southgate, Dean O'Reilly
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引用次数: 4

Abstract

At airports, security screening can cause long delays. In order to speed up screening a solution to avoid passengers removing their shoes to have them X-ray scanned is required. To detect threats or contraband items hidden within the shoe, a method of screening using frequency swept signals between 15 to 40 GHz has been developed, where the scan is carried out whilst the shoes are being worn. Most footwear is transparent to microwaves to some extent in this band. The scans, data processing and interpretation of the 2D image of the cross section of the shoe are completed in a few seconds. Using safe low power UWB radar, scattered signals from the shoe can be observed which are caused by changes in material properties such as cavities, dielectric or metal objects concealed within the shoe. By moving the transmission horn along the length of the shoe a 2D image corresponding to a cross section through the footwear is built up, which can be interpreted by the user, or automatically, to reveal the presence of concealed threat within the shoe. A prototype system with a resolution of 6 mm or less has been developed and results obtained for a wide range of commonly worn footwear, some modified by the inclusion of concealed material. Clear differences between the measured images of modified and unmodified shoes are seen. Procedures for enhancing the image through electronic image synthesis techniques and image processing methods are discussed and preliminary performance data presented.
基于超宽带微波雷达的鞋类扫描系统的研制
在机场,安检可能会造成长时间的延误。为了加快安检速度,需要一种避免乘客脱鞋进行x光扫描的解决方案。为了检测藏在鞋子里的威胁或违禁品,一种使用15至40 GHz频率扫描信号的筛查方法已经开发出来,在穿鞋的同时进行扫描。大多数鞋类在一定程度上对微波是透明的。鞋子横截面的二维图像的扫描、数据处理和解释在几秒钟内完成。使用安全的低功率超宽频雷达,可以观察到来自鞋的散射信号,这些信号是由鞋内隐藏的材料特性变化引起的,如空腔、电介质或金属物体。通过沿着鞋子的长度移动传输喇叭,可以建立与穿过鞋子的横截面相对应的二维图像,用户可以对其进行解释,或者自动地揭示鞋子内隐藏的威胁的存在。已经开发了一个分辨率为6毫米或更小的原型系统,并获得了广泛的常用鞋类的结果,其中一些通过包含隐藏材料进行了修改。在修改和未修改的鞋子的测量图像之间可以看到明显的差异。讨论了通过电子图像合成技术和图像处理方法增强图像的程序,并给出了初步的性能数据。
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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