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System for critical infrastructure security based on multispectral observation-detection module

机译:基于多光谱观测检测模块的关键基础设施安全系统

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摘要

Recent terrorist attacks and possibilities of such actions in future have forced to develop security systems for critical infrastructures that embrace sensors technologies and technical organization of systems. The used till now perimeter protection of stationary objects, based on construction of a ring with two-zone fencing, visual cameras with illumination are efficiently displaced by the systems of the multisensor technology that consists of: visible technology - dayight cameras registering optical contrast of a scene, thermal technology - cheap bolometric cameras recording thermal contrast of a scene and active ground radars - microwave and millimetre wavelengths that record and detect reflected radiation. Merging of these three different technologies into one system requires methodology for selection of technical conditions of installation and parameters of sensors. This procedure enables us to construct a system with correlated range, resolution, field of view and object identification. Important technical problem connected with the multispectral system is its software, which helps couple the radar with the cameras. This software can be used for automatic focusing of cameras, automatic guiding cameras to an object detected by the radar, tracking of the object and localization of the object on the digital map as well as target identification and alerting. Based on "plug and play" architecture, this system provides unmatched flexibility and simplistic integration of sensors and devices in TCP/IP networks. Using a graphical user interface it is possible to control sensors and monitor streaming video and other data over the network, visualize the results of data fusion process and obtain detailed information about detected intruders over a digital map. System provide high-level applications and operator workload reduction with features such as sensor to sensor cueing from detection devices, automatic e-mail notification and alarm triggering. The paper presents a structure and some elements of critical infrastructure protection solution which is based on a modular multisensor security system. System description is focused mainly on methodology of selection of sensors parameters. The results of the tests in real conditions are also presented.
机译:最近的恐怖袭击和将来可能采取的此类行动迫使人们为关键基础设施开发安全系统,这些基础设施应包含传感器技术和系统的技术组织。到目前为止,固定物体的周界保护基于具有两区域围栏的环的构造,带有照明的可视摄像机被多传感器技术系统有效地取代,该系统包括:可见技术-记录光学对比度的日/夜摄像机场景技术,热技术-记录场景热对比度的廉价热像仪相机和有源地面雷达-记录和检测反射辐射的微波和毫米波波长。要将这三种不同的技术合并到一个系统中,需要选择安装技术条件和传感器参数的方法。此过程使我们能够构建具有相关范围,分辨率,视野和物体识别的系统。与多光谱系统有关的重要技术问题是其软件,该软件有助于将雷达与摄像机耦合。该软件可用于相机的自动对焦,将相机自动引导到雷达检测到的物体,在数字地图上跟踪物体并对其进行定位以及目标识别和警报。该系统基于“即插即用”架构,可提供无与伦比的灵活性以及TCP / IP网络中传感器和设备的简单集成。使用图形用户界面,可以控制传感器并通过网络监视流视频和其他数据,可视化数据融合过程的结果,并通过数字地图获得有关检测到的入侵者的详细信息。该系统可提供高级应用程序并减少操作员的工作量,并具有从检测设备到传感器的提示,自动电子邮件通知和警报触发等功能。本文介绍了基于模块化多传感器安全系统的关键基础设施保护解决方案的结构和一些要素。系统描述主要集中在选择传感器参数的方法上。还提供了在真实条件下的测试结果。

著录项

  • 来源
  • 会议地点 Dresden(DE)
  • 作者单位

    Institute of Optoelectronic, Military University of Technology,ul. gen. Sylwetra Kaliskiego 2, 00-908 Warsaw, Poland;

    Institute of Optoelectronic, Military University of Technology,ul. gen. Sylwetra Kaliskiego 2, 00-908 Warsaw, Poland;

    Institute of Optoelectronic, Military University of Technology,ul. gen. Sylwetra Kaliskiego 2, 00-908 Warsaw, Poland;

    Institute of Optoelectronic, Military University of Technology,ul. gen. Sylwetra Kaliskiego 2, 00-908 Warsaw, Poland;

    Institute of Optoelectronic, Military University of Technology,ul. gen. Sylwetra Kaliskiego 2, 00-908 Warsaw, Poland;

    Institute of Optoelectronic, Military University of Technology,ul. gen. Sylwetra Kaliskiego 2, 00-908 Warsaw, Poland;

    Institute of Optoelectronic, Military University of Technology,ul. gen. Sylwetra Kaliskiego 2, 00-908 Warsaw, Poland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    multisensor security system; radar; VIS camera; IR camera; data fusion;

    机译:多传感器安全系统;雷达; VIS相机红外摄像机数据融合;
  • 入库时间 2022-08-26 14:31:25

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