AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites
December 02, 2024 Β· Declared Dead Β· π 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
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Authors
Jiazhou Liu, Aravinda S. Rao, Fucai Ke, Tim Dwyer, Benjamin Tag, Pari Delir Haghighi
arXiv ID
2412.01273
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CV
Citations
3
Venue
2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Last Checked
4 months ago
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.
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