The project presents a forest fire detection system based on swarm of quadcopters and neural networks. 3 quadcopters are designed to fly in a triangular-shaped over a specific forest area. Then, they are responsible to send video stream data to a ground station that will be processed via Neural Networks to detect fires and smokes in a frame.

Surveillance Drone Swarm Control (Presentation pptx)

Fire Detection by drones with neural network - presentation (pptx) 

Forest Fire Detection System using Swarm of Quadcopters and AI