An Image Detection and Processing using Edge Detection for Military Application
The border security till now directly dependent on soldiers. The soldiers detect the enemies and target them in highly secured areas. There is a chance that the soldier can fail to detect the enemies, in such cases the enemies can enter the highly secured areas. In this work, a low cost security surveillance system is developed to reduce the individual fault on the borderline. This method contributes in sharing the maximum labor and minimizes the individual faults. This system observes the interloper and directs the selective information to the control room using Wi-Fi module. It cut down the human burden in the field of surveillance by minimizing casualties on border and other secured areas. The work is grounded on image processing and internet of things using microcontroller and Infra-Red sensor modules.