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Abstract
Computer vision and VTOL (Vertical Takeoff and Landing) based technology has drastically increased in the past few years. They gained a tremendous influence on how the world is adapting to these technologies like machine learning, object detection, face detection, targeting system in drones, aerial photography, person tracking by drone. Drones and multirotors have revolutionized this world in many ways. Now we can perform autonomous missions, 3D mapping, surveillance, etc. But multirotor would not be able to perform these autonomous missions in several regions. The automation technology for multirotor depends on GPS navigation system. It cannot perform an autonomous operation without a satellite communication. In Some regions like inside an enclosed area where the satellite signal is not been able to reach or GPS signals often get shadowed. In this paper, we have used image processing to overcome this limitation and be able to detect, track, control position and perform autonomous operations on a multirotor in an enclosed selected area.