Resumo:
Fires can occur at any time, just having the objects needed for it, so they can occur anywhere leaving several problems wherever it goes. Based on this idea, this work was proposed to perform a fire detection in videos, using convolutional neural networks to validate the image of the videos. A base with videos was created, containing videos with similar characteristics, those of fire and smoke, from which were generated images containing only the movement that was detected in the video. After the extraction of the backgrounds, the images only contained parts of interest, after that, the images were used in convolutional neural networks, which the architectures were the Xception and ResNet. The results presented by both networks were extremely satisfactory for the propose of this work.
