Description

Deep Learning Based Fire Detection Approach Using YOLOv3 -Deep learning Project

.This project proposes a forest fire detection algorithm by exploiting YOLOv3 to  dataset images.  Then according to the available computation power of the onboard hardware, a small-scale of convolution neural network (CNN) is implemented with the help of YOLOv3. The testing results show that the recognition rate of this algorithm is about 83%, and the frame rate of detection can reach more than 3.2 fps. This method has great advantages for real-time fire detection