Surveillance System for Detection of Suspicious Human Activities at War Field

Abstract

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.