Computer Vision-based Safety Monitoring
Computer Vision-Based Safety Monitoring is a computational methodology within mine safety automation that employs image and video analysis through artificial intelligence to detect hazards, monitor compliance with safety protocols, and enable real-time risk assessment in underground and surface mining environments.
163
Publications
8.3K
Citations
550
Authors
184
Institutions
Publications per year
2017–2026
142
Parents
163
Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring
Wenyu Zhang, Zhenjiang Zhang, Dapeng Qi et al. · Sensors · 2014 · 298 citations · Full text
Computer vision applications in construction safety assurance
Weili Fang, Lieyun Ding, Peter E.D. Love et al. · Automation in Construction · 2019 · 265 citations
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184

Chung-Ang University
Seoul, South Korea
8 h-index
34 publications
1.5K citations

Huazhong University of Science and Technology
Wuhan, China
5 h-index
17 publications
2.2K citations
Beijing Jiaotong University
Beijing, China
5 h-index
8 publications
1.4K citations
University of South Carolina
Columbia, United States
4 h-index
1 publications
79 citations
China University of Mining and Technology
Xuzhou, China
4 h-index
12 publications
188 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
6 publications
593 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
8 publications
1.1K citations

Zhejiang University
Hangzhou, China
3 h-index
5 publications
199 citations
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9 publications · 680 citations
11
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9 publications · 709 citations
9
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8 publications · 807 citations
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4 publications · 430 citations
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5 publications · 143 citations
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