Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review.

Yang, Bin; Yang, Shuang; Zhu, Xin; Qi, Min; Li, He; Lv, Zhihan; Cheng, Xiaogang; Wang, Faming

Yang, Bin; Yang, Shuang; Zhu, Xin; Qi, Min; Li, He; Lv, Zhihan; Cheng, Xiaogang; Wang, Faming.

Afiliación

Yang B; School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Yang S; School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Zhu X; School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Qi M; School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Li H; School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Lv Z; Department of Game Design, Faculty of Arts, Uppsala University, SE-62167 Uppsala, Sweden.
Cheng X; College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210042, China.
Wang F; Department of Biosystems, KU Leuven, 3001 Leuven, Belgium.

Sensors (Basel) ; 23(13)2023 Jul 06.

Article en En | MEDLINE | ID: mdl-37448035

Asunto(s)

Inteligencia Artificial; Computadores; Tecnología

Palabras clave

behavior patterns; computer vision; equipment health monitoring; fault diagnosis and detection; non-contact measurement; remote sensing

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Computadores / Inteligencia Artificial Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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