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Remote video surveillance systems

机译:远程视频监控系统

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Unmanned Ground Sensors (UGS) have seen resurgence in recent years for use in a growing number of remote surveillance applications. These sensors can provide a wide range of information to assist an analyst in recognizing the type of intrusion detected. The addition of sensor cued imagers has also gained popularity in extending the recognition capabilities of sensors to allow identification of people and vehicles thereby expanding the mission capabilities of these systems. We are now on the brink of the next advance in remote surveillance - unmanned video - which promises to provide information far beyond recognition and identification of individuals. Knowledge of the intent of individuals operating within an Area of Interest (AOI) is possible with the retrieval of collected video. Three technologies are converging to drive remote video capability; (1) low power video processors allow advanced video functions including video compression and automated target tracking to be applied at the video input point, (2) high bandwidth tactical radio networks offering robustness and communication range beyond commercial networks are now available to exfiltrate the video, and (3) low power sensors provide the ability to maximize system operational life through power management of multiple tiers within the system. These advances have combined to create the Remote Video Surveillance Systems which promise a leap forward in the situational knowledge provided by unmanned systems.
机译:近年来,无人地面传感器(UGS)在越来越多的远程监视应用中得到了普及。这些传感器可以提供广泛的信息,以帮助分析人员识别检测到的入侵类型。在扩展传感器的识别能力以允许人员和车辆的识别,从而扩展这些系统的任务能力方面,传感器提示成像器的添加也获得了普及。现在,我们正处于远程监视的下一个进步边缘-无人视频-它有望提供远远超出个人识别和识别范围的信息。通过检索所收集的视频,可以了解在感兴趣区域(AOI)内工作的个人的意图。三种技术正在融合以驱动远程视频功能。 (1)低功耗视频处理器允许在视频输入点应用包括视频压缩和自动目标跟踪在内的高级视频功能;(2)提供超出商用网络的鲁棒性和通信范围的高带宽战术无线电网络现在可用于传播视频,以及(3)低功耗传感器通过对系统内多个层的电源进行管理,可以最大限度地延长系统的使用寿命。这些先进技术相结合,共同创建了远程视频监控系统,该系统有望在无人驾驶系统提供的态势知识方面实现飞跃。

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