AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites

Together with industry experts, we are exploring the potential of head-mounted augmented reality to facilitate safety inspections on high-rise construction sites. A particular concern in the industry is inspecting perimeter safety screens on higher levels of construction sites, intended to prevent falls of people and objects. We aim to support workers performing this inspection task by tracking which parts of the safety screens have been inspected. We use machine learning to automatically detect gaps in the perimeter screens that require closer inspection and remediation and to automate reporting. This work-in-progress paper describes the problem, our early progress, concerns around worker privacy, and the possibilities to mitigate these.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00010
Citations
2
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.90
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article

AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites

Benjamin Tag, Tim Dwyer, Jiazhou Liu, Aravinda S. Rao et al.
2 citations
Occupational Health and Safety Research
0.90
article

AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites

Benjamin Tag, Tim Dwyer, Jiazhou Liu, Aravinda S. Rao, Pari Delir Haghighi, Fucai Ke
article en
2 citations

Abstract

Together with industry experts, we are exploring the potential of head-mounted augmented reality to facilitate safety inspections on high-rise construction sites. A particular concern in the industry is inspecting perimeter safety screens on higher levels of construction sites, intended to prevent falls of people and objects. We aim to support workers performing this inspection task by tracking which parts of the safety screens have been inspected. We use machine learning to automatically detect gaps in the perimeter screens that require closer inspection and remediation and to automate reporting. This work-in-progress paper describes the problem, our early progress, concerns around worker privacy, and the possibilities to mitigate these.

The University of Melbourne (AU), Monash University (AU)
Climate action
Openalex Percentile: Top 24%
Occupational Health and Safety Research
0.90
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