A neural network-based intelligent system for substation surveillance video analysis with edge and IoT integration

Substations are vital components of power infrastructure, and their security is crucial to the stable operation of the power grid. With the rapid development of Internet of Things (IoT) technologies and edge computing, substation monitoring systems are evolving toward greater intelligence and autono...

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Vydané v:	EURASIP journal on wireless communications and networking Ročník 2025; číslo 1; s. 95 - 18
Hlavní autori:	Tong, Bing, Li, Yuyao, Chen, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 19.11.2025 Springer Nature B.V SpringerOpen
Predmet:	Accuracy Algorithms Cameras Communications Engineering Edge computing Emerging Technologies in Mobile Computing for IoT Connectivity and Edge Computing Engineering Information Systems Applications (incl.Internet) Internet of Things LSTM Machine learning Monitoring Monitoring systems Multi-instance learning Networks Neural networks Optimization Outdoor air quality Public safety Recognition Safety management Signal,Image and Speech Processing Substation Substations Surveillance Surveillance video Video Video anomaly recognition algorithm Wavelet transform Wavelet transforms Video anomaly recognition algorithm Substation LSTM Wavelet transform Multi-instance learning Surveillance video
ISSN:	1687-1499, 1687-1472, 1687-1499
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