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An Evaluation of the Technologies Used for the Real-Time Monitoring of the Risk of Falling from Height in Construction-Systematic Review

Title
An Evaluation of the Technologies Used for the Real-Time Monitoring of the Risk of Falling from Height in Construction-Systematic Review
Type
Another Publication in an International Scientific Journal
Year
2024-09-12
Authors
Filipa Pereira
(Author)
Other
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María de las Nieves González García
(Author)
Other
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João Poças Martins
(Author)
FEUP
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Journal
Title: BuildingsImported from Authenticus Search for Journal Publications
Pages: 2879-2879
ISSN: 0007-3725
Publisher: MDPI
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Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
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Authenticus ID: P-016-X2H
Abstract (EN): The construction industry has the highest number of fatal accidents compared to other industries. However, manual safety compliance monitoring is complex and difficult for safety engineers, and more automated solutions need to be found. The main research objective was to review the state of the art of real-time monitoring technologies used to assess the risk of falling from height in the construction sector. A systematic review is proposed in order to summarise the technologies used for real-time monitoring in the construction sector, following the PRISMA methodology. Only studies that assessed the risk of falling in real time were selected. From an initial set of 1289 articles, 40 were classified as strictly relevant to addressing the research questions. Various technologies that use artificial intelligence have been designed to monitor workers in real time and to send alerts to workers at any time in the event of a risk situation, thus preventing accidents. This study showed that new technologies are being introduced to predict the risk of a fall in real time, changing the approach from reactive to proactive and allowing this monitoring to improve workplace surveillance and safety. Further research is needed to develop effective systems that are easy for people to use without compromising productivity.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 26
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