This book examines the transformative role of artificial intelligence (AI) in industrial safety, focusing on the shift from traditional reactive systems to proactive, predictive safety architectures in smart factories. It explores how AI technologies, including machine learning, computer vision, biometrics, wearables, augmented reality, and digital twins, are revolutionising occupational health and safety across industries such as manufacturing, logistics, energy, aviation, and construction. The book highlights the integration of AI-enabled safety systems, addressing real-time risk monitoring, predictive maintenance, employee well-being, and accident prevention. It also delves into the ethical, legal, and regulatory implications of AI in safety-critical systems, including GDPR compliance, algorithm transparency, and ISO 45001 standards. Case studies from global companies like Siemens, Boeing, Samsung, and INVISTA provide practical insights into implementation, challenges, and outcomes.

This book examines the transformative role of artificial intelligence (AI) in industrial safety, focusing on the shift from traditional reactive systems to proactive, predictive safety architectures in smart factories. It explores how AI technologies, including machine learning, computer vision, biometrics, wearables, augmented reality, and digital twins, are revolutionising occupational health and safety across industries such as manufacturing, logistics, energy, aviation, and construction. The book highlights the integration of AI-enabled safety systems, addressing real-time risk monitoring, predictive maintenance, employee well-being, and accident prevention. It also delves into the ethical, legal, and regulatory implications of AI in safety-critical systems, including GDPR compliance, algorithm transparency, and ISO 45001 standards. Case studies from global companies like Siemens, Boeing, Samsung, and INVISTA provide practical insights into implementation, challenges, and outcomes.

This book examines the transformative role of artificial intelligence (AI) in industrial safety, focusing on the shift from traditional reactive systems to proactive, predictive safety architectures in smart factories. It explores how AI technologies, including machine learning, computer vision, biometrics, wearables, augmented reality, and digital twins, are revolutionising occupational health and safety across industries such as manufacturing, logistics, energy, aviation, and construction. The book highlights the integration of AI-enabled safety systems, addressing real-time risk monitoring, predictive maintenance, employee well-being, and accident prevention. It also delves into the ethical, legal, and regulatory implications of AI in safety-critical systems, including GDPR compliance, algorithm transparency, and ISO 45001 standards. Case studies from global companies like Siemens, Boeing, Samsung, and INVISTA provide practical insights into implementation, challenges, and outcomes.