I&T Wish - Integrated AI Confined Space Safety Monitoring System 2025-08-11
Integrated AI Confined Space Safety Monitoring System
I&T Wish
Integrated AI Confined Space Safety Monitoring System (REF: W-0578)
Matched I&T Solution
Trial Project
Summary and Challenges
This project develops an AI Confined Space Safety Monitoring System integrating video analytics and multi-sensor data. Using real-time sequential action detection, it accurately identifies emergencies like fainting and falls, while instantly aggregating wearable and environmental sensor data for comprehensive risk assessment.
Key Challenges:
Accurate detection of abnormal events in complex environments.
Real-time integration of diverse data sources.
Reducing false alarms and ensuring reliable alerts.
Expected Outcome
The expected outcomes of the project are as follows:
AI automatically detects worker fainting, falls, and abnormal inactivity through continuous video analysis.
Real-time risk assessment by integrating physiological and environmental sensor data.
Automated early warning and alarm system to enable timely intervention by safety personnel.
Enhanced situational awareness and risk prevention capability.