Vision-based framework for intelligent monitoring of hardhat wearing on construction sites

BE Mneymneh, M Abbas, H Khoury - Journal of Computing in Civil …, 2019 - ascelibrary.org
The construction industry is still considered among the riskiest industries in the world
because workers are continuously exposed to injury from falls, slips, or trips or being struck …

Automated hardhat detection for construction safety applications

BE Mneymneh, M Abbas, H Khoury - Procedia engineering, 2017 - Elsevier
Despite various safety inspections carried out over the years to ensure compliance with
regulations and maintain acceptable and safe working conditions, construction is still among …

Hardhat-wearing detection for enhancing on-site safety of construction workers

MW Park, N Elsafty, Z Zhu - Journal of Construction Engineering and …, 2015 - ascelibrary.org
Construction is one of the most dangerous job sectors, which annually reports tens of
thousands of time-loss injuries and deaths. These injuries and deaths do not only bring …

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 …

Computer vision techniques for construction safety and health monitoring

JO Seo, SU Han, SH Lee, H Kim - Advanced Engineering Informatics, 2015 - Elsevier
For construction safety and health, continuous monitoring of unsafe conditions and action is
essential in order to eliminate potential hazards in a timely manner. As a robust and …

Automated object identification using optical video cameras on construction sites

S Chi, CH Caldas - Computer‐Aided Civil and Infrastructure …, 2011 - Wiley Online Library
Visual recording devices such as video cameras, CCTVs, or webcams have been broadly
used to facilitate work progress or safety monitoring on construction sites. Without human …

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 …

Unmanned aerial systems and deep learning for safety and health activity monitoring on construction sites

A Akinsemoyin, I Awolusi, D Chakraborty, AJ Al-Bayati… - Sensors, 2023 - mdpi.com
Construction is a highly hazardous industry typified by several complex features in dynamic
work environments that have the possibility of causing harm or ill health to construction …

Human-object interaction recognition for automatic construction site safety inspection

S Tang, D Roberts, M Golparvar-Fard - Automation in Construction, 2020 - Elsevier
Today, computer vision object detection methods are used for safety inspections from site
videos and images. These methods detect bounding boxes and use hand-made rules to …

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 …