A real-time fire and flame detection method for electric vehicle charging station based on machine vision

In the charging process of electric vehicle (EV), high voltage and high current charging methods are widely used to reduce charging time, resulting in severe battery heating and an increased risk of fire. To improve fire detection efficiency, this paper proposes a real-time fire and smoke detection...

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Vydáno v:	Journal of real-time image processing Ročník 20; číslo 2; s. 38
Hlavní autoři:	Gao, Dexin, Zhang, Shiyu, Ju, Yifan, Yang, Qing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2023 Springer Nature B.V
Témata:	Accuracy Algorithms Cellular telephones Classification Clustering Computer Graphics Computer networks Computer Science Datasets Electric vehicle charging Electric vehicle charging stations Emergency procedures Fire detection Image Processing and Computer Vision Machine vision Monitoring Multimedia Information Systems Network management systems Neural networks Optimization Pattern Recognition Real time Signal,Image and Speech Processing Smoke Tracking Vision systems Kmeans + + clustering algorithm Fire smoke detection EV charging station CA module GhostNet-YOLOv4-CA
ISSN:	1861-8200, 1861-8219
On-line přístup:	Získat plný text
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