A Semi-Autonomous Tracked Robot Detection of Gun and Human Movement Using Haar Cascade Classifier for Military Application

Abstract

The evolutionary process of modern robotics helps the military forces to revamp their aged systems with today's advanced technology. For defending any kind of criminal activities like hostage situation created by any extremist or a militant group the uses of all terrain military assistance robot has increased from past time. In this paper we have approached a stair climbing robot with some creative features which can assist a military group to complete a mission or achieve any milestone. We have focused on reliable designs and unique stair climbing mechanisms with the detection of stairs through image processing. Moreover detecting the human movement and different kind of guns using the image processing algorithms helps us to upgrade our system into a semi-autonomous robot. Using radio frequency communication protocol, wide range of working space is achieved which helps the user to control the robot from a safe distance from the crime zone. Experimental analysis of the system justify the reliability as well as the efficiency of the design and the algorithms for practical scenario.