Human-Centered Artificial Intelligence For Industrial Safety

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. • Comprehensive analysis of AI-enabled safety architectures, including edge analytics, sensor networks, and human-machine interfaces. • In-depth exploration of wearable safety devices, such as smart helmets and fatigue-monitoring vests, with technical specifications and cloud integration. • Application of computer vision and deep learning for PPE detection, posture analysis, and behaviour monitoring. • Integration of digital twins for predictive maintenance and safety optimisation in industries like energy and automotive. • Global case studies showcasing AI applications in industrial safety, featuring companies like Siemens, Bosch Rexroth, and Samsung. This book is for engineers, digital transformation leaders, safety professionals, researchers, and graduate students seeking to implement or study AI-driven safety systems in industrial environments. Seasonal Blurb 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 is for engineers, digital transformation leaders, safety professionals, researchers, and graduate students seeking to implement or study AI-driven safety systems in industrial environments. This book is for engineers, digital transformation leaders, safety professionals, researchers, and graduate students seeking to implement or study AI-driven safety systems in industrial environments. Short Blurb 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. This book is for engineers, digital transformation leaders, safety professionals, researchers, and graduate students seeking to implement or study AI-driven safety systems in industrial environments.