YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities

N Rane - Available at SSRN 4624206, 2023 - papers.ssrn.com
The rise of Industry 4.0 and the emerging paradigm of Industry 5.0 have driven
unprecedented technological progress in various fields. Central to this transformation are …

Enhanced safety implementation in 5S+ 1 via object detection algorithms

M Shahin, FF Chen, A Hosseinzadeh… - … International Journal of …, 2023 - Springer
Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …

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 …

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 …

An improved YOLOX approach for low-light and small object detection: PPE on tunnel construction sites

Z Wang, Z Cai, Y Wu - Journal of Computational Design and …, 2023 - academic.oup.com
Tunnel construction sites pose a significant safety risk to workers due to the low-light
conditions that can affect visibility and lead to accidents. Therefore, identifying personal …

A high-performance framework for personal protective equipment detection on the offshore drilling platform

X Ji, F Gong, X Yuan, N Wang - Complex & Intelligent Systems, 2023 - Springer
In order for the offshore drilling platform to operate properly, workers need to perform regular
maintenance on the platform equipment, but the complex working environment exposes …

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 …

[HTML][HTML] Decoding a decade: The evolution of artificial intelligence in security, communication, and maintenance within the construction industry

TG Mai, M Nguyen, A Ghobakhlou, WQ Yan… - Automation in …, 2024 - Elsevier
This paper analyzes the evolution of Artificial Intelligence (AI) in the construction industry
from 2014 to 2023, focusing on enhancing security, communication, and maintenance. It …

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 …

A Detailed Comparative Analysis of You Only Look Once-Based Architectures for the Detection of Personal Protective Equipment on Construction Sites

A Elesawy, E Mohammed Abdelkader, H Osman - Eng, 2024 - mdpi.com
For practitioners and researchers, construction safety is a major concern. The construction
industry is among the world's most dangerous industries, with a high number of accidents …