Artificial intelligence (AI)-Based technology adoption in the construction industry: a cross national perspective using the technology acceptance model

S Na, S Heo, W Choi, C Kim, SW Whang - Buildings, 2023 - mdpi.com
The research has chosen the workers in construction-related companies in South Korea and
the United Kingdom (UK) as research subjects in order to analyse factors that influence their …

Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning

MZ Shanti, CS Cho, BG de Soto, YJ Byon… - Journal of safety …, 2022 - Elsevier
Introduction: The construction field is considered one of the most dangerous industries.
Accidents and fatalities take place on a daily basis in construction projects. Globally …

AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications

ABK Rabbi, I Jeelani - Automation in Construction, 2024 - Elsevier
High occupational injury and fatality rate in the construction industry is a serious global
concern. Recognizing AI as a solution to enhance safety performance, this study reviews …

[HTML][HTML] An Evaluation of the Technologies Used for the Real-Time Monitoring of the Risk of Falling from Height in Construction—Systematic Review

F Pereira, MN González García, J Poças Martins - Buildings, 2024 - mdpi.com
The construction industry has the highest number of fatal accidents compared to other
industries. However, manual safety compliance monitoring is complex and difficult for safety …

A deep learning approach for brain tumor firmness detection based on five different YOLO versions: YOLOv3–YOLOv7

NF Alhussainan, B Ben Youssef, MM Ben Ismail - Computation, 2024 - mdpi.com
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance
images (MRIs), a process that is prone to human error and is also time consuming. Recent …

Enhancing Worker Safety: Real-Time Automated Detection of Personal Protective Equipment to Prevent Falls from Heights at Construction Sites Using Improved …

D Kim, S Xiong - Journal of Construction Engineering and …, 2025 - ascelibrary.org
Personal protective equipment (PPE), including helmets, harnesses, and lanyards, is pivotal
in preventing falls from heights at construction sites. However, ensuring consistent and …

A Review of Computer Vision-Based Monitoring Approaches for Construction Workers' Work-Related Behaviors

J Li, Q Miao, Z Zou, H Gao, L Zhang, Z Li… - IEEE Access, 2024 - ieeexplore.ieee.org
Construction workers' behaviors directly affects labor productivity and their own safety,
thereby influencing project quality. Recognizing and monitoring the construction-related …

Yolo-dfan: Effective high-altitude safety belt detection network

W Yan, X Wang, S Tan - Future Internet, 2022 - mdpi.com
This paper proposes the You Only Look Once (YOLO) dependency fusing attention network
(DFAN) detection algorithm, improved based on the lightweight network YOLOv4-tiny. It …

A remote-vision-based safety helmet and harness monitoring system based on attribute knowledge modeling

X Wu, Y Li, J Long, S Zhang, S Wan, S Mei - Remote Sensing, 2023 - mdpi.com
Remote-vision-based image processing plays a vital role in the safety helmet and harness
monitoring of construction sites, in which computer-vision-based automatic safety helmet …

A Scaffolding Assembly Deficiency Detection System with Deep Learning and Augmented Reality

RJ Dzeng, CW Cheng, CY Cheng - Buildings, 2024 - mdpi.com
Scaffoldings play a critical role as temporary structures in supporting construction processes.
Accidents at construction sites frequently stem from issues related to scaffoldings, including …