| I&T Solution |
Integrated Inspection System for Historic Buildings Using AI-Driven Infrared Drones and Multi-Sensor Fusion Robotic Dog
(REF: S-1880) |
| Trial Project |
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| Solution Feature |
- AI-based generation of more prominent exterior wall infrared defect images
- High-precision exterior wall defect detection based on fusion of RGB and IR images
- Effective inspection of confined suspended ceiling using robotic dogs with advanced multi-sensor fusion
- AI-powered efficient and precise model reconstruction and defect annotation system
- Efficient, safe, and accurate integrated inspection system based on automated robots
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| Trial Application and Expected Outcome |
- Use a high-resolution infrared drone to capture exterior walls and artificially adjust the wall temperature beforehand to highlight defects.
- Adopt well-designed AI algorithms to enhance defects in infrared images and integrate RGB-IR fusion for improved detection accuracy.
- Leverage a compact yet powerful robotic dog equipped with multiple sensors to traverse suspended ceilings and inspect hard-to-reach areas.
- Develop advanced Scan-to-BIM and AI algorithms to enable highly intelligent inspection of suspended ceilings via the robotic dog.
- Combine specialized hardware and algorithms to achieve a safe, low-cost, and high-precision system for inspecting historic buildings.
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| Additional Solution Information |
Solution_RCT.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Hong Kong Red Circle Technology Co., Limited | | Address | : | Unit 906, 9/F, Building 19W, No. 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, N.T. | | Contact Person | : | Walker LIANG |
| Position | : | CEO | | Tel | : | 53152022 | | Email | : |
zliangaq@connect.ust.hk | | Webpage | : | https://ec.hkust.edu.hk/node/9873 |
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