QuadSWARM: A Real-Time Autonomous Surveillance System using Multi-Quadcopter UAVs

This paper presents an automated solution for real time perimeter surveillance in smart cities. By using a swarm of custom-made drones, installed with surveillance payloads, which is specially designed to carry out such missions, additional advantages can be gained due to multiple drones simultaneously covering different observatory areas. These flying robots have multiple degrees of autonomy, from completely manual to fully scripted pre-planned mission execution. Moreover, they are difficult to detect due to smaller size and signature as compared to fixed wing unmanned aircraft, and even if one of them is compromised, others in the swarm can complete the mission. The real-time video received from the drone can also detect the land mapping of enemy territory and quickly provide live data for situational awareness. The present system uses a leader/follower approach based on the hierarchical swarm of four drones which is able to operate in all terrain and fly over hard to reach places carrying a limited payload which can help saving lives in time constrained missions.