Hand Gesture Control Robot for Fire Detection and Prevention

Abstract

Detecting a forest fire in a dense region is challenging and cannot be undone in a small time-span. This paper is mainly indulged with the hand gesture control and fire density detection in a bot. The extensive simulation with both microcontroller and flame sensor will give the intensity of the fire in the forest area. In comparing with the other approaches, our research gives the exact intensity of the fire and more than 75% accurate. It is also integrated with the hand gesture control using Zigbee Protocol accordance will give the movements in the Robot. The arm is also equipped with the sensors to facilitate the temperature and condition parameters. Further this approach can be extended up to defence applications in military.