A survey on recent trends in robotics and artificial intelligence in the furniture industry DOI Creative Commons
Andrea Brunello,

Giuliano Fabris,

Alessandro Gasparetto

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 93, P. 102920 - 102920

Published: Dec. 6, 2024

Language: Английский

Artificial intelligence (AI) use for personal protective equipment training, remediation and education in healthcare DOI Creative Commons
Veronica Preda, Z. Ong, Chandana Wijeweera

et al.

American Journal of Infection Control, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Personal protective equipment (PPE) is a first-line transmission-based precaution for reducing the spread of nosocomial infections between healthcare workers (HCWs), patients, and staff. Disproportionate rates in HCWs during COVID-19 pandemic highlighted problematic skill gap effective PPE donning/doffing. We performed single-centre, mixed-method, prospective cohort study 293 Sydney, Australia. Participants were assessed using SXR AI-PPE®, an AI system that autonomously evaluates donning/doffing while providing real-time feedback on user technique. Quantitative data performance AI-guided unguided sessions recorded, including accuracy (%), time (sec) to don/doff, over multiple attempts. Additionally, questionnaires administered before after training assess changes self-efficacy correct use. Longitudinal results showed improved each guided session conducted at 3-monthly intervals, with 100% rate use two sessions. Following AI-PPE training, taken don doff was reduced by 15 22 seconds, respectively. These improvements maintained The AI-PPE® platform comprehensive tool capable real-time. platforms can effectively improve skills self-efficacy, implications contamination risk infections.

Language: Английский

Citations

0
Advancing Food Safety Behavior with AI: Innovations and Opportunities in the Food Manufacturing Sector DOI Creative Commons
Ke Wang, Miranda Mirosa, Yakun Hou

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 105050 - 105050

Published: April 1, 2025

Language: Английский

Citations

0
TMU-GAN: a compliance detection algorithm for protective equipment in power operations DOI

Xuecun Yang,

Jiayu Li, Qingyun Zhang

et al.

Multimedia Systems, Journal Year: 2025, Volume and Issue: 31(3)

Published: May 2, 2025

Language: Английский

Citations

0
Improving Safety in High-Altitude Work: Semantic Segmentation of Safety Harnesses with CEMFormer DOI Open Access

Qirui Zhou,

Dandan Liu

Symmetry, Journal Year: 2024, Volume and Issue: 16(11), P. 1449 - 1449

Published: Nov. 1, 2024

The symmetry between production efficiency and safety is a crucial aspect of industrial operations. To enhance the identification proper harness use by workers at height, this study introduces machine vision approach as substitute for manual supervision. By focusing on rope that connects worker to an anchor point, we propose semantic segmentation mask annotation principle evaluate use. We introduce CEMFormer, novel model utilizing ConvNeXt backbone, which surpasses traditional ResNet in accuracy. Efficient Multi-Scale Attention (EMA) incorporated optimize channel weights integrate spatial information. Mask2Former serves head, enhanced Poly Loss classification Log-Cosh Dice loss, thereby improving training efficiency. Experimental results indicate CEMFormer achieves mean accuracy 92.31%, surpassing baseline five state-of-the-art models. Ablation studies underscore contribution each component model’s accuracy, demonstrating effectiveness proposed ensuring safety.

Language: Английский

Citations

1
A survey on recent trends in robotics and artificial intelligence in the furniture industry DOI Creative Commons
Andrea Brunello,

Giuliano Fabris,

Alessandro Gasparetto

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 93, P. 102920 - 102920

Published: Dec. 6, 2024

Language: Английский

Citations

0