Development of safety training in construction: Literature review, scientometric analysis, and meta-analysis

J Lin, Y Cai, Q Li - Journal of Management in Engineering, 2023 - ascelibrary.org
The construction industry has a high accident rate, making safety training for construction
workers increasingly important in addressing this issue. Previous research on construction …

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 …

Construction work-stage-based rule compliance monitoring framework using computer vision (CV) technology

N Khan, SFA Zaidi, J Yang, C Park, D Lee - Buildings, 2023 - mdpi.com
Noncompliance with safety rules is a major cause of unsatisfactory performance in
construction safety worldwide. Although some research efforts have focused on using …

Application of YOLO v5 and v8 for Recognition of Safety Risk Factors at Construction Sites

K Kim, K Kim, S Jeong - Sustainability, 2023 - mdpi.com
The construction industry has high accident and fatality rates owing to time and cost
pressures as well as hazardous working environments caused by heavy construction …

Highway Construction Safety Analysis Using Large Language Models

M Smetana, L Salles de Salles, I Sukharev… - Applied Sciences, 2024 - mdpi.com
Featured Application Use of large language models and AI to analyze construction safety
data. Abstract The highway construction industry carries substantial safety risks for workers …

[HTML][HTML] Multi-Task Intelligent Monitoring of Construction Safety Based on Computer Vision

L Liu, Z Guo, Z Liu, Y Zhang, R Cai, X Hu, R Yang… - Buildings, 2024 - mdpi.com
Effective safety management is vital for ensuring construction safety. Traditional safety
inspections in construction heavily rely on manual labor, which is both time-consuming and …

Multi-label material and human risk factors recognition model for construction site safety management

J Park, S Seong, S Park, M Kim, HY Kim - Journal of Safety Research, 2024 - Elsevier
Introduction: Construction sites are prone to numerous safety risk factors, but safety
managers have difficulty managing these risk factors for practical reasons. Moreover …

Evaluation of safety management of smart construction sites from the perspective of resilience

Y Qian, H Liu, P Mao, X Zheng - Buildings, 2023 - mdpi.com
In the context of green, low-carbon, and sustainable construction, the safety management of
smart construction sites has been a key issue. Current related research mainly focuses on …

Leveraging YOLO Models for Safety Equipment Detection on Construction Sites

M Çiftçi, MU Türkdamar, C Öztürk - Journal of Computing …, 2024 - dl.futuretechsci.org
Occupational safety encompasses a range of practices adopted to protect the health and
safety of employees. In the construction and industrial sectors, employees may be exposed …

Deep learning-based object detection for dynamic construction site management

J Xu, W Pan - Automation in Construction, 2024 - Elsevier
Deep learning-based object detection (DLOD) methods are crucial in assisting dynamic
construction site management (DCSM) but have not been systematically studied. This paper …