PART 1 – FOUNDATIONS OF AI-DRIVEN SAFETY IN SMART FACTORY

Chapter
1. Workplace safety in the AI era

1.1. The Evolution of Safety Systems: from Reactive to Predictive

1.2. Human-Centered Safety in industry
4.0 and
5.0

1.3. Modern Safety Culture in an Era of Data and Automation

Chapter
2. Key AI Technologies for Safety System

2.1. ML and AD Algorithms

2.2. Edge Computing, Internet of Things, and Real Time Processing

2.3. Digital Twins and cascading safety architecture

Chapter
3. Intelligent Hazard Sensing and Environmental Screening

3.1. Intelligent Sensor Networks and Data Fusion

3.2. Edge-Based Analytics and Latency-Free Alerts

3.3. Integration with SCADA and Predictive Maintenance

PART 2 – MODERN APPLIED TECHNOLOGIES AND INDUSTRIAL SOLUTIONS

Chapter
4. Wearable Technology and Worker-Focused Safety Monitoring

4.1. Fall Detection, Fatigue Monitoring and Biometric Feedback

4.2. Wearables-to-safety dashboard Integration

4.3. Worker privacy, ethics, and real-time response

Chapter
5. AR-enhanced Operational and Safety Support

5.1. Augmented Interfaces and Field-of-Vision Alerts

5.2. AR for industrial training and procedural assistance

5.3. AR Powered Remote Support and Error Reduction

Chapter
6. AI-Powered Exoskeletons and Ergonomic Support

6.1. Biomechanical Monitoring and Dynamic Support

6.2. Task-Specific Adaptation and User Feedback

6.3. Strategies for Long-term Health and Injury Prevention

Chapter
7. Computer Vision and Image Analytics for Industrial Safety

7.1. Deep Learning for PPE Adherence Tracking

7.2. Real-Time Video Stream for Unsafe Behaviour Detection

7.3. Annotation, FPs, and Ethical Deployment

Chapter
8. Real Time Localization and Obstacle Avoidance

8.1. RTLS for Tracking Employee and Machine Movements

8.2. Models of Collision Prediction and Mapping of Risk Zones

8.3. Dynamic emergency alerts and situation awareness of the environment

PART 3 – FUTURE OF SAFETY

Chapter
9. Ethical, Privacy & Regulatory Considerations for AI Safety Systems

9.1. Algorithmic Accountability and Explainability (XAI)

9.2. GDPR, ISO 45001 and the AI Act in Practice in the Industry

9.3. Participatory Privacy-Preserving Safety System Design

Chapter
10. Workplace Safety in Industry
5.0: Customization, Collaboration and Sustainability

10.1. Emotional AI and Worker-Centered Design

10.2. Adaptive systems of inclusion and Variability

10.3. Health and Safety within ESG and Human Capital Policies