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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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2025; H. 1; S. 95 - 18
Hauptverfasser:	Tong, Bing, Li, Yuyao, Chen, Xin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 19.11.2025 Springer Nature B.V SpringerOpen
Schlagworte:	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
Online-Zugang:	Volltext
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