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Review Open access Aug 2026

The role of Artificial Intelligence in improving construction site safety

Artificial intelligence, when responsibly implemented, represents a transformative adjunct to traditional safety practices – capable of significantly improving construction site safety performance globally – but it must be deployed in tandem with organizational commitment, worker training, and robust safety cultures.

M. Al-Thubaiti, Saeed S. Al-Shahrani, Ryan A. Alsaihaty · 0 citations
Open access 2026

Implementing Artificial Intelligence to Reduce Risks in Auto Repair Services

It is confirmed that AI can move workplace safety from reactive to preventive management by enabling real-time monitoring, proactive alerts, and predictive forecasting and can significantly enhance worker protection, operational efficiency, and sustainability in the automotive repair sector.

A. Cană, Claudia Borda, Adrian Moise et al. · 0 citations
Review Open access Jul 2026

Industrial Hazard Identification and Automated Safety Control Systems: A Comprehensive Review of Industry 4.0 Technologies, Artificial Intelligence, And Future Safety Paradigms

This review presents a comprehensive analysis of industrial hazard identification and automated safety control systems by synthesizing research published between 2013 and 2026, and explores the role of Safety 4.0 and Industry 5.0 paradigms in promoting human-centric, sustainable, and resilient industrial operations.

T. M. Hossain, M. Chowdhury, K. M. M. F. Mithon et al. · 0 citations
Conference Jul 2026

Warehouse Safety and Security Monitoring with Computer Vision

Modern warehouse environments demand intelligent monitoring systems that ensure both operational safety and security. However, existing surveillance solutions remain largely reactive, relying on manual observation or isolated detection mechanisms that fail to address complex real-world challenges such as occluding thef...

Dinura Vimukthi, Poorni Thilakarathna, Devin Silva et al. · 0 citations
Conference Aug 2026

SafetyBuddy: A Multimodal LLM-Based Safety Intelligence Platform for Regulatory Compliance in Process Industries

The problems addressed in this paper are platform architecture, multimodal data fusion and LLM grounding mechanism in the Nigerian industrial system in addition to evaluation metrics, security control, human-in-the-loop validation of safety alerts and the limitations to real-world deployment.

E. C. Ashinze · 0 citations
Review Open access Aug 2026

A Functional Survey of AI-Based Vision Systems for Industrial Applications: Safety, Quality, and Productivity

This survey categorizes AI-based vision systems by their functional objectives rather than algorithmic classification, and organizes prior work by functional roles and practical deployment considerations, rather than algorithm-centric evaluations, to provide practitioners with actionable insights for industrial adoptio...

Minjung Kim, Hwan-Sik Yoon · 0 citations

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