AI-driven predictive safety analytics for accident prevention in smart manufacturing

The fourth and fifth industrial revolutions have ushered in a new era of cyber-physical systems (CPS) and smart factories where artificial intelligence (AI) is leveraged for process optimization, quality assurance, and now, increasingly, workplace safety. With the integration of Industrial Internet of Things (IIoT), machine learning, and real-time analytics, factories are evolving into intelligent ecosystems that can anticipate hazards and autonomously prevent accidents before they occur [1].