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首页> 外文会议>International Conference on Inventive Systems and Control >Development of a Framework for Effective Surveillance and Human Intrusion Detection in Border regions covered with Dry leaves
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Development of a Framework for Effective Surveillance and Human Intrusion Detection in Border regions covered with Dry leaves

机译：在干树叶覆盖的边界区域开发有效监视和人类入侵检测的框架

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Terrorist intrusion creates problems to the national security. The casualty induced by previous terror attacks against Indian Military Force in Pathankot, Uri and the recent Pulwama attack demands the need of developing a multi-sensing system for detecting the presence and movement of intruders in the border areas. Huge human involvement is needed for the conventional patrolling systems and the latest surveillance systems are equipped with high-tech and costly devices. Line of sight issues and high false warning rates are the major problem experienced by using any of this single technique. This lead to the need of developing an effective surveillance and human intruder detection system integrated with multi sensing approach and different technologies. The proposed system is a part of the PANCHENDRIYA framework, only for detecting a human intruder in the border region covered by dry leaves. This framework aims to reduce the work force and cost of the traditional border surveillance by integrating multiple sensors and various wireless technologies. Microphone sensor is used to detect the presence of human intruder in dry leaves through footstep signal detection and surveillance camera sensor is used for getting a clear evidence of the intrusion in the border region through visual information. The overall system performance is enhanced by integrating these sensors into a microcontroller development board with high computational capability. Once the human intrusion in border region covered with dry leaves is detected, then the system initiates early alerts.
机译：恐怖分子的入侵给国家安全带来了问题。先前在乌里州帕坦科特市对印度军的恐怖袭击和最近的普尔瓦玛袭击造成的人员伤亡，需要开发一种多传感系统来检测边界地区入侵者的存在和活动。传统的巡逻系统需要大量的人员参与，而最新的监视系统配备了高科技且昂贵的设备。视线问题和高错误警告率是使用任何一种单一技术所遇到的主要问题。因此，需要开发一种有效的监视和人类入侵检测系统，并将其与多种传感方法和不同技术集成在一起。拟议的系统是PANCHENDRIYA框架的一部分，仅用于检测被干树叶覆盖的边界区域中的人类入侵者。该框架旨在通过集成多个传感器和各种无线技术来减少传统边界监视的工作量和成本。麦克风传感器用于通过脚步信号检测来检测干树叶中是否存在人类入侵者，监视摄像头传感器用于通过视觉信息获得边界区域入侵的清晰证据。通过将这些传感器集成到具有高计算能力的微控制器开发板中，可以提高整体系统性能。一旦检测到有人闯入干树叶覆盖的边界区域，系统就会启动早期警报。

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