A critical review of vision-based occupational health and safety monitoring of construction site workers

M Zhang, R Shi, Z Yang - Safety science, 2020 - Elsevier
Globally, the occupational health and safety (OHS) of construction workers has long been a
serious concern. To address this issue, there is an urgent need for an efficient means to …

YOLO-PL: Helmet wearing detection algorithm based on improved YOLOv4

H Li, D Wu, W Zhang, C **ao - Digital Signal Processing, 2024 - Elsevier
Workplace safety accidents are a pervasive issue worldwide. According to the National Work
Safety Supervision Administration, a striking 67.95% of construction accidents occur due to …

Safety helmet detection based on YOLOv5

F Zhou, H Zhao, Z Nie - 2021 IEEE International conference on …, 2021 - ieeexplore.ieee.org
As the most basic protection for workers, safety helmets have great significance to workers'
lives. However, due to a lack of safety awareness, safety helmets are often not worn. With …

Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

Q Fang, H Li, X Luo, L Ding, H Luo, TM Rose… - Automation in …, 2018 - Elsevier
Hardhats are an important safety measure used to protect construction workers from
accidents. However, accidents caused in ignorance of wearing hardhats still occur. In order …

Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset

J Wu, N Cai, W Chen, H Wang, G Wang - Automation in construction, 2019 - Elsevier
Hardhats play an essential role in protecting construction individuals from accidents.
However, wearing hardhats is not strictly enforced among workers due to all kinds of …

Detection algorithm of safety helmet wearing based on deep learning

L Huang, Q Fu, M He, D Jiang… - … and Computation: Practice …, 2021 - Wiley Online Library
In the production and construction of industry, safety accidents caused by unsafe behaviors
of staff often occur. In a complex construction site scene, due to improper operations by …

[HTML][HTML] Deep learning-based automatic safety helmet detection system for construction safety

A Hayat, F Morgado-Dias - Applied Sciences, 2022 - mdpi.com
Worker safety at construction sites is a growing concern for many construction industries.
Wearing safety helmets can reduce injuries to workers at construction sites, but due to …

[HTML][HTML] Fast personal protective equipment detection for real construction sites using deep learning approaches

Z Wang, Y Wu, L Yang, A Thirunavukarasu, C Evison… - Sensors, 2021 - mdpi.com
The existing deep learning-based Personal Protective Equipment (PPE) detectors can only
detect limited types of PPE and their performance needs to be improved, particularly for their …

Safety helmet detection based on improved YOLOv8

B Lin - IEEE Access, 2024 - ieeexplore.ieee.org
Wearing safety helmets can effectively reduce the risk of head injuries for construction
workers in high-altitude falls. In order to address the low detection accuracy of existing safety …

[HTML][HTML] Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification

JCP Cheng, PKY Wong, H Luo, M Wang… - Automation in …, 2022 - Elsevier
Construction sites are highly hazardous due to the dynamic interaction between workers
and moving equipment, with high fatality rates caused by collision and falling from height …