Digital Safety Technologies: AI, IoT, and BIM for Safety Monitoring

Digital Safety Technologies: AI, IoT, and BIM for Safety Monitoring

📅 Duration: 5 Days
👷 Target Audience: Expert Safety Engineers, Digital Transformation Officers, Construction Managers, Risk & Compliance Officers
🎯 Skill Level: Advanced

📌 Course Objectives:

By the end of this course, participants will be able to:
✔ Understand and implement Artificial Intelligence (AI), Internet of Things (IoT), and Building Information Modeling (BIM) for safety monitoring.
✔ Use real-time data collection and predictive analytics to prevent workplace incidents.
✔ Improve site monitoring through smart sensors, drones, and wearables.
✔ Utilize BIM 4D/5D modeling for proactive safety planning.
✔ Develop automated safety compliance systems to reduce human error.
✔ Integrate AI-driven video analytics for PPE compliance and hazard detection.
✔ Implement digital reporting and emergency response systems using cloud-based platforms.

📌 Course Outline:

🟢 Day 1: Introduction to Digital Safety Technologies in Public Construction

🔹 Evolution of digital safety in construction: From traditional methods to AI and IoT.
🔹 Overview of AI, IoT, and BIM applications in safety engineering.
🔹 Regulatory compliance and digital safety standards (ISO 45001, OSHA, ANSI).
🔹 Case Study: How digital safety technologies have improved incident reduction in mega projects.

🟢 Day 2: Internet of Things (IoT) and Wearable Safety Technologies

🔹 IoT-based sensors for hazard detection (gas leaks, temperature, vibration, noise).
🔹 Smart wearables (helmet sensors, smart vests, fatigue monitoring devices).
🔹 Real-time location tracking and geofencing for worker safety.
🔹 Connected site monitoring using cloud-based IoT platforms.
🔹 Case Study: Implementing IoT in highway and bridge construction projects.

🟢 Day 3: AI-Driven Safety Monitoring and Automation

🔹 AI-powered video surveillance for PPE detection and hazard identification.
🔹 Machine learning for predictive accident analysis.
🔹 AI-driven risk assessment: Analyzing past incidents to prevent future risks.
🔹 Drones and robotics for site inspections and hazardous task automation.
🔹 Case Study: AI-based safety incident prediction in high-risk construction zones.

🟢 Day 4: Building Information Modeling (BIM) for Safety Planning

🔹 Introduction to BIM 4D/5D for risk management.
🔹 Safety clash detection and simulations using BIM models.
🔹 Integration of IoT and AI with BIM for real-time safety tracking.
🔹 BIM-based emergency planning and digital evacuation simulations.
🔹 Case Study: BIM-driven safety strategy in a government infrastructure project.

🟢 Day 5: Case Study & Real-World Application

🔹 Hands-on case study: Designing a digital safety strategy for a public infrastructure project.
🔹 Developing a real-time safety dashboard using AI and IoT.
🔹 Panel discussion: Challenges and future trends in digital safety adoption.
🔹 Course assessment and action plan development.
🔹 Certificate of Completion & Closing Remarks.

🛠 Tools & Software Used:

✅ IoT Platforms (Azure IoT, IBM Watson IoT, ThingWorx) – For real-time site monitoring.
✅ AI-Powered Safety Analytics (Smartvid.io, Procore AI, Deep Vision AI) – For incident prediction.
✅ BIM Software (Autodesk BIM 360, Revit, Navisworks) – For digital safety modeling.
✅ Drone Technology (DJI Phantom, Parrot Anafi AI) – For automated site inspections.
✅ Power BI / Tableau – For AI-driven safety data visualization and analysis.