Conceptual Smart Model for an AI-Integrated Worker Safety Monitoring System in Manufacturing Industrial Environments

As Industry 4.0 revolutionizes manufacturing, protecting worker safety, particularly in high-risk, multicultural environments, has become crucial. This study presents a conceptual model for an AI-driven safety monitoring system that combines biometric wearables, environmental sensors, behavior recognition, and multilingual alerts. It allows for real-time hazard detection and inclusive communication, all managed through a centralized dashboard. A simulation of oxygen depletion in a confined space demonstrates the system's ability to respond quickly. The model is compatible with Industry 4.0 platforms like MES, ERP, and Digital Twins, and supports migrant workers by breaking down language barriers with multilingual alerts and pictograms. The framework aligns with ISO 45001 and OSHA standards, and its modular, scalable design enables predictive risk mitigation and smart safety innovation. This framework sets the stage for future prototyping and field implementation.