Personal protective equipment detection: A deep-learning-based sustainable approach

MIB Ahmed, L Saraireh, A Rahman, S Al-Qarawi… - Sustainability, 2023 - mdpi.com
Personal protective equipment (PPE) can increase the safety of the worker for sure by
reducing the probability and severity of injury or fatal incidents at construction, chemical, and …

Real-time personal protective equipment compliance detection based on deep learning algorithm

JH Lo, LK Lin, CC Hung - Sustainability, 2022 - mdpi.com
The construction industry is one of the most dangerous industries in the world due to
workers being vulnerable to accidents, injuries and even death. Therefore, how to effectively …

Deep learning-based framework for monitoring wearing personal protective equipment on construction sites

YR Lee, SH Jung, KS Kang, HC Ryu… - Journal of …, 2023 - academic.oup.com
The construction site is one of the most dangerous industries because the number of
occupational injuries and fatalities is significantly higher compared to other industries …

A smart system for personal protective equipment detection in industrial environments based on deep learning

G Gallo, F Di Rienzo, P Ducange… - … on Smart Computing …, 2021 - ieeexplore.ieee.org
The adoption of real-time object detection systems via video streaming analysis is currently
exploited in several contexts, from security monitoring to safety prevention. In industrial …

PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites

M Ferdous, SMM Ahsan - PeerJ Computer Science, 2022 - peerj.com
With numerous countermeasures, the number of deaths in the construction industry is still
higher compared to other industries. Personal Protective Equipment (PPE) is constantly …

Safety helmet wearing detection based on image processing and deep learning

W Zhang, C Yang, F Jiang, X Gao… - … Information System and …, 2020 - ieeexplore.ieee.org
The environment of the steel factory workshop is complex, and there may be a variety of
unexpected potential dangers, so wearing a helmet to enter the workshop is a prerequisite …

A vision-based approach for ensuring proper use of personal protective equipment (PPE) in decommissioning of Fukushima Daiichi nuclear power station

S Chen, K Demachi - Applied Sciences, 2020 - mdpi.com
Decommissioning of the Fukushima Daiichi nuclear power station (NPS) is challenging due
to industrial and chemical hazards as well as radiological ones. The decommissioning …

[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 …

Deep learning-based workers safety helmet wearing detection on construction sites using multi-scale features

K Han, X Zeng - IEEE Access, 2021 - ieeexplore.ieee.org
Wearing safety helmets can effectively protect workers safety on construction sites. However,
workers often take off the helmets because of weak security-conscious and discomfort, then …

Towards on-site hazards identification of improper use of personal protective equipment using deep learning-based geometric relationships and hierarchical scene …

S Chen, K Demachi - Automation in construction, 2021 - Elsevier
Construction sites are one of the most perilous environments where many potential hazards
may occur. Personal Protective Equipment (PPE) is an important safety measure used to …