A Robust Fire Detection Model via Convolution Neural Networks for Intelligent Robot Vision Sensing

Accurate fire identification can help to control fires. Traditional fire detection methods are mainly based on temperature or smoke detectors. These detectors are susceptible to damage or in-terference from the outside environment. Meanwhile, most of the current deep learning methods are less discri...

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Bibliographic Details
Main Authors:	An, Q. (Author), Chen, X. (Author), Huang, W. (Author), Shi, R. (Author), Yang, Y. (Author), Zhang, J. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Clustering algorithms Computer vision Convolution Convolution neural network deep learning Deep learning detection Detection Detection models dynamic convolution Dynamic convolution F1 scores Fire detection Fire detectors Fire-detection method Fires Intelligent robots Learning methods Smoke YOLOv5
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

A Robust Fire Detection Model via Convolution Neural Networks for Intelligent Robot Vision Sensing

Internet

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