AI for Real-Time Safety Monitoring and Emergency Detection

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Start Date

23/02/2026

End Date

27/02/2026

Category

Artificial Intelligence & Emerging Tech

Country

Madrid

Course Overview

This program focuses on applying AI to enhance safety in industrial operations by detecting anomalies, predicting emergencies, and enabling real-time monitoring using advanced sensors and machine vision systems.

Course Objectives

• Understand the role of AI in proactive safety management.
• Utilize computer vision and sensor data for hazard detection.
• Deploy real-time monitoring tools for worker and asset safety.
• Predict equipment failure and human risk using ML.
• Design integrated emergency response systems.

Course Outline

• Safety Analytics and AI Fundamentals
• Machine Vision for PPE and Behavior Monitoring
• Real-Time Hazard Detection and Alerts
• Predictive Models for Emergency Scenarios
• Integration with Safety Management Systems

Target Audience

HSE professionals, safety engineers, digital transformation officers, and plant managers.

Methodology

Tool demonstrations, video analysis, real-time data feeds, and emergency response simulations.

Conclusion

Participants will gain practical experience applying AI to improve workplace safety and emergency response.

Daily Agenda

1 Day

AI in Safety Overview

2 Day

Computer Vision & Sensors

3 Day

Hazard Prediction

4 Day

Real-Time Monitoring

5 Day

Emergency Systems