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Surveillance System for Detection of Suspicious Human Activities at War Field

机译:检测战区可疑人类活动的监测系统

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War field surveillance system plays vital role in security of every Nation. Major problems related are surveillance at national borders. Manual monitoring is relatively difficult in case of the borders where the area is too big; specifically, during night the majority of the attacks are executed by rivals where the human vision is not capable to identify enemy location. Therefor intelligent system needs to be developed which will automatically identify survival of enemy in less light situation or night. We put forward intelligent war field surveillance system consist of raspberry pi processor interfaced with night vision camera capable of sensing environment, intelligent decision making, commanding capability and performing action on the environment. The Internet of things is used to inform concern authority about enemy status. This system includes night vision camera and raspberry pi module which can transmit videos of the war field sequentially to prevent any hurt and loss to human life. The system will be used as proper machine for the defence sector to decrease the loss of human life and also useful to decrease infiltrations at border regions. It works on the principle of optical flow algorithm for movement detection. The developed algorithm is implemented in real time by motion based moving object detection method.
机译:战区监测系统在每个国家的安全方面发挥着重要作用。与国家边界有关的主要问题是监督。在区域太大的情况下,手动监测相对困难;具体而言,在夜间期间,大多数攻击都是由人类愿景无法识别敌人位置的竞争对手的攻击。需要制定智能系统,这将在较少的轻型情况下自动识别敌人的生存。我们提出了智能战争现场监控系统,由覆盆子PI处理器组成,与夜视摄像机接口,能够感测环境,智能决策,指挥能力和对环境执行行动。事情的互联网被用来为牺牲敌人身份的担忧。该系统包括夜视摄像头和覆盆子PI模块,可以顺序传输战区的视频,以防止对人类生命的任何伤害和损失。该系统将被用作防御部门的适当机器,以减少人类生命的丧失,也可用于减少边境地区的渗透。它适用于用于移动检测的光学流量算法的原理。通过基于运动的移动物体检测方法实时实现开发的算法。

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