| I&T Solution |
Using Drones, Mobile Robots and AI Analytics Technologies to Assist Inspecting and Monitoring the Building Structure and Building Services System Health with Non-Destructive Methods
(REF: S-1879) |
| Trial Project |
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| Solution Feature |
- High-resolution drones will capture images of building exteriors.
- Captured data will be processed by AI algorithms to detect.
- The system can integrate WaveScan technology to identify hidden defects within materials.
- The system will provide real-time alerts for critical defects, facilitating response and mitigation actions.
- A secure cloud platform will store inspection data for easy access, analysis, and future reference.
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| Trial Application and Expected Outcome |
- Automated data collection and AI-powered analysis significantly reduce inspection time.
- AI analysis ensure precise defect detection and classification.
- Automated inspections enable early identification of potential problems.
- Proactive maintenance minimizes the need for extensive repairs.
- Inspection reports empower facility managers to make data-driven decisions.
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| Additional Solution Information |
RaSpect_LCSD InnoPortal Wishlist.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | RaSpect Intelligence Inspection Limited | | Address | : | Room 1109, 133 Wai Yip Street, Ngau Tau Kok, Hong Kong | | Contact Person | : | Tony Ip |
| Position | : | Technical Manager | | Tel | : | 67433588 | | Email | : |
tony.ip@raspect.ai | | Webpage | : | https://www.raspect.ai/ |
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