Method for detection of unsafe actions in power field based on edge computing architecture
Method for detection of unsafe actions in power field based on edge computing architecture
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
Due to the high risk factors in the electric power industry, the safety of power system can be improved by using the surveillance system to predict and warn the operators’ nonstandard and unsafe actions in real time. In this paper, aiming at the real-time and accuracy requirements in video intelligent surveillance, a method based on edge computing...
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Full title
Method for detection of unsafe actions in power field based on edge computing architecture
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TN_cdi_doaj_primary_oai_doaj_org_article_f3cff18fea5444948aae45b90a410ec0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f3cff18fea5444948aae45b90a410ec0
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ISSN
2192-113X
E-ISSN
2192-113X
DOI
10.1186/s13677-021-00234-w