Cost Effective Solution to Detect Lift Rope Defects Using AI

I&T Wish Cost Effective Solution to Detect Lift Rope Defects Using AI
(REF: W-0573)
Matched I&T Solution
Trial Project
Summary and Challenges This project aims to develop an automated lift rope monitoring system using AI and high-speed imaging to assess integrity and identify early defects. The system provides continuous, real-time analysis of moving lift ropes via localized edge AI processing, improving on traditional manual inspections.Current inspection methods have key limitations:
  1. Safety risks: Technicians must work in confined, hazardous spaces near moving machinery.
  2. Reactive maintenance: Periodic inspections leave gaps where defects can worsen unnoticed.
  3. Limited data: Manual reports are often descriptive rather than quantitative, making predictive maintenance difficult.
Expected Outcome
  • AI-driven rope defect detection
  • On-site edge AI processing (no cloud)
  • Instant defect alert system
  • Rapid and easy installation
  • Economic Solution
  • Enhanced Inspection Safety & Reliability
Expected Trial Duration 6-month
Contact Information
I&T Wish Proposer:Electrical and Mechanical Services Department (EMSD)
Contact Person:LEUNG Kin Fung
Position:Engineer/Gen Engineering Services/Special Duty 3
Tel:37576075
Email: leungkf@emsd.gov.hk
Upload Date 2025-06-05
Closing Date 2025-05-01
Propose I&T Solution Closed