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

Artificial intelligence technologies such as computer vision (CV), machine learning, Internet of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies provide non-contact measurements in three areas: indoor environmental monitoring, outdoor environ-mental monitoring,...

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Detalles Bibliográficos
Autores principales: Yang, Bin, Yang, Shuang, Zhu, Xin, Qi, Min, Li, He, Lv, Zhihan, Cheng, Xiaogang, Wang, Faming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346506/
https://www.ncbi.nlm.nih.gov/pubmed/37448035
http://dx.doi.org/10.3390/s23136186
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author Yang, Bin
Yang, Shuang
Zhu, Xin
Qi, Min
Li, He
Lv, Zhihan
Cheng, Xiaogang
Wang, Faming
author_facet Yang, Bin
Yang, Shuang
Zhu, Xin
Qi, Min
Li, He
Lv, Zhihan
Cheng, Xiaogang
Wang, Faming
author_sort Yang, Bin
collection PubMed
description Artificial intelligence technologies such as computer vision (CV), machine learning, Internet of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies provide non-contact measurements in three areas: indoor environmental monitoring, outdoor environ-mental monitoring, and equipment monitoring. This paper summarizes the specific applications of non-contact measurement based on infrared images and visible images in the areas of personnel skin temperature, position posture, the urban physical environment, building construction safety, and equipment operation status. At the same time, the challenges and opportunities associated with the application of CV technology are anticipated.
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spelling pubmed-103465062023-07-15 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 Sensors (Basel) Review Artificial intelligence technologies such as computer vision (CV), machine learning, Internet of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies provide non-contact measurements in three areas: indoor environmental monitoring, outdoor environ-mental monitoring, and equipment monitoring. This paper summarizes the specific applications of non-contact measurement based on infrared images and visible images in the areas of personnel skin temperature, position posture, the urban physical environment, building construction safety, and equipment operation status. At the same time, the challenges and opportunities associated with the application of CV technology are anticipated. MDPI 2023-07-06 /pmc/articles/PMC10346506/ /pubmed/37448035 http://dx.doi.org/10.3390/s23136186 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Yang, Bin
Yang, Shuang
Zhu, Xin
Qi, Min
Li, He
Lv, Zhihan
Cheng, Xiaogang
Wang, Faming
Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
title Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
title_full Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
title_fullStr Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
title_full_unstemmed Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
title_short Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review
title_sort computer vision technology for monitoring of indoor and outdoor environments and hvac equipment: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346506/
https://www.ncbi.nlm.nih.gov/pubmed/37448035
http://dx.doi.org/10.3390/s23136186
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