Automatic Detection of Personal Protective Equipment in Construction Sites Using Metaheuristic Optimized YOLOv5

Author:

Nguyen Ngoc-Thoan,Tran Quangdung,Dao Chi-Hieu,Nguyen Duc Anh,Tran Duc-HocORCID

Funder

Vietnamese Ministry of Education and Training

Publisher

Springer Science and Business Media LLC

Reference95 articles.

1. Wu, J.; Cai, N.; Chen, W.; Wang, H.; Wang, G.: Automatic detection of hardhats worn by construction personnel: a deep learning approach and benchmark dataset. Autom. Constr. 106, 102894 (2019)

2. Chung, W.W.S.; Tariq, S.; Mohandes, S.R.; Zayed, T.: IoT-based application for construction site safety monitoring. Int. J. Constr. Manag. 23(1), 58–74 (2020)

3. Li, H.; Li, X.; Luo, X.; Siebert, J.: Investigation of the causality patterns of non-helmet use behavior of construction workers. Autom. Constr. 80, 95–103 (2017)

4. Jalil Al-Bayati, A.; Rener, A.T.; Listello, M.P.; Mohamed, M.: PPE non-compliance among construction workers: an assessment of contributing factors utilizing fuzzy theory. J. Saf. Res. 85, 242–253 (2023)

5. Bureau of Labor Statistics: Number and rate of fatal work injuries, by industry. https://www.bls.gov/charts/census-of-fatal-occupational-injuries/number-and-rate-of-fatal-work-injuries-by-industry.htm, Accessed July 2022 (2020)

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