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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,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10346506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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