| I&T Solution |
RopeVision: Cost Effective Solution to Detect Lift Rope Defects Using AI
(REF: S-1875) |
| Matched I&T Wish |
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| Trial Project |
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| Solution Feature |
- 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
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| Trial Application and Expected Outcome |
- Automated and Accurate Defect Detection: Achieve high accuracy in identifying common lift rope defects through AI-driven analysis of high-speed camera footage, significantly reducing missed defects compared to manual inspections.
- Enhanced Safety and Reliability: Improve lift operational safety by providing early detection of rope degradation, allowing for timely maintenance interventions and minimizing the risk of unexpected downtime or catastrophic failures.
- Increased Inspection Efficiency and Privacy: Streamline the inspection process with rapid, on-site AI analysis, eliminating network delays and ensuring all inspection data remains private by avoiding cloud-based processing.
- Cost-Effective and Scalable Solution: Demonstrate a scalable and budget-friendly inspection method, with installation completed within one hour and low cost of a typical lift installation, while also being eco-friendly with low power consumption.
- Actionable Insights for Predictive Maintenance: Provide clear, instant alerts on detected defects, enabling maintenance teams to prioritize repairs effectively and shift towards a more predictive maintenance strategy for lift ropes.
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| Additional Solution Information |
Proposal of Rope monitoring with computer vision - Avaron 30AUG2024.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Avaron Technologies Limited | | Address | : | Room 503, 5/F, Tung Wai Commercial Building, 109-111 Gloucester Road, Wan Chai, Hong Kong | | Contact Person | : | 鄭基駿 | | Tel | : | 24070405 |
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