Surveillance using Unmanned Aerial Vehicle for Triggered Activity Capturing

Unmanned aerial vehicles (UAVs) are being used extensively these days, for various applications such as package delivery, surveillance systems, shooting purposes, and whatnot. Artificial Intelligence in theory talks a lot about search and traversal problems in 2-dimensional space and various algorithms for it. The problem addressed by us is a traversal problem in 3-dimensional space where an unmanned aerial vehicle traverses a dynamic path based on a pre-programmed planner, halts in situations when it faces some hindrance, and reroutes its path to the destination or back to the base station depending upon the situation. In this paper, we propose a surveillance system, where a quick response vehicle acquires the destination address when a trigger is made through GPS by the person in trouble. The drone preplans its path before traversal, traverses the path, and then gets in the vicinity of the person or location from where the emergency signal was triggered. The camera module then captures the images, and the image processing module performs face detection and sends the images to the nearest safety station. In addition to that, if there is only one person detected by the code, the drone performs a 360 rotation to detect the presence of any other animal or bird around and sends the images detected by it so that some suitable action can be taken.