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:
    1. Accurate detection of abnormal events in complex environments.
    2. Real-time integration of diverse data sources.
    3. Reducing false alarms and ensuring reliable alerts.
Expected Outcome
  • The expected outcomes of the project are as follows:
    1. AI automatically detects worker fainting, falls, and abnormal inactivity through continuous video analysis.
    2. Real-time risk assessment by integrating physiological and environmental sensor data.
    3. Automated early warning and alarm system to enable timely intervention by safety personnel.
    4. Enhanced situational awareness and risk prevention capability.
    5. Improved worker safety, reduced accident rates, and optimized emergency response processes.
Expected Trial Duration 12-month
Contact Information
I&T Wish Proposer:Drainage Services Department (DSD)
Contact Person:Ho Kin Tung
Position:Eletrical and Mechaincal Engineer/Projects 3/7
Tel:2594 7241
Email: kintungho@dsd.gov.hk
Upload Date 2025-08-12
Closing Date 2025-08-26