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    • 9. 发明授权
    • Active microwave device and detection method
    • 主动微波装置及检测方法
    • US09282258B2
    • 2016-03-08
    • US14160895
    • 2014-01-22
    • Andrey KuznetsovValery AveryanovIgor Gorshkov
    • Andrey KuznetsovValery AveryanovIgor Gorshkov
    • H04N5/30H04N13/02G06K9/46
    • H04N5/30G06K9/00771G06K9/4604G06K2209/09H04N13/239
    • Disclosed herein is a method and system for detecting potentially hazardous and/or explosive material concealed under clothing or in luggage. Through the emission, reflection, and reception of microwave radiation, a 3D image of a targeted area can be constructed. The image will show the outline of a moving person as well as any dielectric objects potentially hidden on their body. By measuring phases and amplitudes of microwaves reflected off a dielectric object, the optical path of the microwave through a hidden object can be determined, thus allowing for the creation of a 3D microwave image of a targeted area. Several emitters and receivers can be utilized at once, and video imaging can also be superimposed over the microwave image for improved detection accuracy. The invention has security and safety applications across the nation, particularly in areas of mass transit and large public events.
    • 本文公开了一种用于检测隐藏在衣服或行李箱内的潜在危险和/或爆炸性物质的方法和系统。 通过微波辐射的发射,反射和接收,可以构建目标区域的3D图像。 该图像将显示移动人物的轮廓以及潜在隐藏在其身体上的任何电介质物体。 通过测量从介电物体反射的微波的相位和振幅,可以确定通过隐藏物体的微波的光路,从而允许创建目标区域的3D微波图像。 可以一次使用几个发射器和接收器,并且还可以在微波图像上叠加视频成像以提高检测精度。 本发明在全国范围内具有安全和安全应用,特别是在公共交通和大型公共事件领域。
    • 10. 发明申请
    • METHOD AND SYSTEM FOR GROUPING AND CLASSIFYING OBJECTS IN COMPUTED TOMOGRAPHY DATA
    • 计算机图形数据中分组和分类对象的方法和系统
    • US20140280141A1
    • 2014-09-18
    • US13829162
    • 2013-03-14
    • MORPHO DETECTION, INC.
    • Walter I. Garms
    • G06F17/30
    • G06K9/00201G06K2209/09
    • A method for classifying objects in volumetric computed tomography (CT) data is described. The method is implemented by a computing device having a processor and a memory coupled to the processor. The method includes receiving, by the computing device, one or more volumetric CT data sets, identifying, by the computing device, a first object in the one or more volumetric CT data sets, identifying, by the computing device, a second object in the one or more volumetric CT data sets, determining, by the computing device, a first similarity amount between the first object and the second object, identifying, by the computing device, a first group comprising at least the first object and the second object, based at least in part on the first similarity amount, and designating, by the computing device, all of the objects in the first group as non-contraband.
    • 描述了用于对体积计算机断层摄影(CT)数据中的对象进行分类的方法。 该方法由具有耦合到处理器的处理器和存储器的计算设备来实现。 该方法包括由计算设备接收一个或多个体积CT数据集,由计算设备识别一个或多个体积CT数据集中的第一对象,由计算设备识别第二对象在 一个或多个体积CT数据集,由计算设备确定第一对象和第二对象之间的第一相似度量,由计算设备识别包括至少第一对象和第二对象的第一组,基于 至少部分地基于第一相似度量,并且由计算设备将第一组中的所有对象指定为非违禁品。