Deep Learning based Fire detection using yolo

SKU: PAN_IPM_108 Categories: ,

Description

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?

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