Deep learning for site safety: Real-time detection of personal protective equipment

ND Nath, AH Behzadan, SG Paal - Automation in construction, 2020 - Elsevier
The leading causes of construction fatalities include traumatic brain injuries (resulted from
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …

[HTML][HTML] Construction site hazards identification using deep learning and computer vision

MM Alateeq, FR PP, MAS Ali - Sustainability, 2023 - mdpi.com
Workers on construction sites face numerous health and safety risks. Authorities have made
numerous attempts to enhance safety management; yet incidents continue to occur …

Detection of personal protective equipment (PPE) compliance on construction site using computer vision based deep learning techniques

VSK Delhi, R Sankarlal, A Thomas - Frontiers in Built Environment, 2020 - frontiersin.org
Construction safety is a matter of great concern for practitioners and researchers worldwide.
Even after risk assessments have been conducted and adequate controls have been …

[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 …

Standardized use inspection of workers' personal protective equipment based on deep learning

J Li, X Zhao, G Zhou, M Zhang - Safety science, 2022 - Elsevier
Falling from height (FFH) and object strike (OS) accidents frequently occur at construction
sites, threatening personnel safety and affecting the construction quality. In the hierarchy of …

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 …

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 …

Deep convolutional networks for construction object detection under different visual conditions

ND Nath, AH Behzadan - Frontiers in Built Environment, 2020 - frontiersin.org
Sensing and reality capture devices are widely used in construction sites. Among different
technologies, vision-based sensors are by far the most common and ubiquitous. A large …

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 …