Innovations in safety management for construction sites: the role of deep learning and computer vision techniques

AA Mohy, HA Bassioni, EO Elgendi… - Construction …, 2024 - emerald.com
Purpose The purpose of this study is to investigate the potential of using computer vision
and deep learning (DL) techniques for improving safety on construction sites. It provides an …

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 …

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 …

Automatic detection of construction workers' helmet wear based on lightweight deep learning

H Liang, S Seo - Applied Sciences, 2022 - mdpi.com
Featured Application The proposed approach has the advantage of low running cost, high
accuracy, and real-time applicability to real-world environments. This work provides new …

Automatic identification of the working state of high-rise building machine based on machine learning

X Pan, T Zhao, X Li, Z Zuo, G Zong, L Zhang - Applied Sciences, 2023 - mdpi.com
High-rise building machines (HBMs) play a crucial role in the construction of super-tall
buildings, with their working states directly impacting safety, quality, and progress. Given …

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 …

A digital twin-based motion forecasting framework for preemptive risk monitoring

Y Jiao, X Zhai, L Peng, J Liu, Y Liang, Z Yin - Advanced Engineering …, 2024 - Elsevier
Risk monitoring is a critical task in numerous industrial fields, including construction
engineering. Existing approaches primarily focus on identifying the immediate incidents of …

[HTML][HTML] A Real-Time Intelligent Valve Monitoring Approach through Cameras Based on Computer Vision Methods

Z Zhang, Q Zhou, H Jin, Q Li, Y Dai - Sensors, 2024 - mdpi.com
Abnormal valve positions can lead to fluctuations in the process industry, potentially
triggering serious accidents. For processes that frequently require operational switching …

[HTML][HTML] EGS-YOLO: A Fast and Reliable Safety Helmet Detection Method Modified Based on YOLOv7

J Han, Z Li, G Cui, J Zhao - Applied Sciences, 2024 - mdpi.com
Wearing safety helmets at construction sites is a major measure to prevent safety accidents,
so it is essential to supervise and ensure that workers wear safety helmets. This requires a …

UAV low-altitude remote sensing inspection system using a small target detection network for helmet wear detection

H Liang, S Seo - Remote Sensing, 2022 - mdpi.com
Automated construction site supervision systems are critical for reducing accident risks. We
propose a helmet detection system with low-altitude remote sensing by UAVs in this paper to …