Artificial intelligence tools for safety and health systems at work DOI

Leidy Laura Castellón Simancas,

Núria Tous,

Lorena Mischell Carriazo Mendoza

et al.

Metaverse Basic and Applied Research, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 31, 2024

A systematic review of the literature was carried out, key technologies such as machine learning, computer vision, wearable devices and intelligent monitoring systems are identified. These tools applied in accident prevention, continuous workers' health, automation surveillance improvement safety training. The implementation predictive AI makes it possible to identify risks prevent accidents, reducing incident rate improving safety. Wearable biometric sensors effective early detection occupational diseases musculoskeletal disorders. Additionally, automating with vision optimizes compliance standards, use personal protective equipment (PPE), easing operational burden on security managers. Despite its benefits, faces ethical technical challenges, data privacy, algorithm transparency, worker need develop clear regulations an approach adoption is highlighted. In conclusion, have great potential transform health systems, but essential address challenges technicians guarantee responsible implementation.

Language: Английский

Wearable Sensors in Industrial Ergonomics: Enhancing Safety and Productivity in Industry 4.0 DOI Creative Commons
José E. Naranjo, Cristina Mora, Diego Fernando Bustamante Villagómez

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1526 - 1526

Published: Feb. 28, 2025

The fourth industrial revolution has transformed ergonomics through the adoption of wearable technologies to enhance workplace safety and well-being. This study conducts a comprehensive scoping review, structured according PRISMA guidelines, examining how devices are revolutionizing ergonomic practices within Industry 4.0. After analyzing 1319 articles from major databases including SpringerLink, MDPI, Scopus, IEEEXplore, 36 relevant studies were selected for detailed analysis. review specifically focuses on improve worker comfort safety, promoting more productive work environments. findings reveal that have significantly impacted conditions in settings, with artificial intelligence integration showing highest presence analyzed applications. Over past years, technology implementations demonstrated 38% improvement optimizing compared traditional approaches.

Language: Английский

Citations

0
Artificial intelligence tools for safety and health systems at work DOI

Leidy Laura Castellón Simancas,

Núria Tous,

Lorena Mischell Carriazo Mendoza

et al.

Metaverse Basic and Applied Research, Journal Year: 2024, Volume and Issue: 3

Published: Dec. 31, 2024

A systematic review of the literature was carried out, key technologies such as machine learning, computer vision, wearable devices and intelligent monitoring systems are identified. These tools applied in accident prevention, continuous workers' health, automation surveillance improvement safety training. The implementation predictive AI makes it possible to identify risks prevent accidents, reducing incident rate improving safety. Wearable biometric sensors effective early detection occupational diseases musculoskeletal disorders. Additionally, automating with vision optimizes compliance standards, use personal protective equipment (PPE), easing operational burden on security managers. Despite its benefits, faces ethical technical challenges, data privacy, algorithm transparency, worker need develop clear regulations an approach adoption is highlighted. In conclusion, have great potential transform health systems, but essential address challenges technicians guarantee responsible implementation.

Language: Английский

Citations

0