| I&T Solution |
Artificial Intelligent Based Railway Infrastructure Inspection System Solution
(REF: S-1169) |
| Trial Project |
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| Solution Feature |
- Railway infrastructure monitoring using different types of remote sensing technologies
- Deep learning AI algorithm for issue and change detection based on multiple sources of data
- Using LiDAR data for simultaneous location and mapping of the 3D point cloud model of the designated railway section
- Using LiDAR data for simultaneous location and mapping of the 3D point cloud model of the designated railway section
- Using current and historical data for Issue prediction though the deep learning AI model
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| Trial Application and Expected Outcome |
- The inspection equipment shall be able to monitor the designated infrastructure section when the passenger train is travelling at high speed and in the environment with insufficient lighting
- A 3D point cloud model of the designated railway infrastructure section will be generated
- The AI models for railway infrastructure inspection
- The issues and abnormalities in the designated railway section can be identified by the developed AI models.
- The results and experience obtained from this trial project can be used in the full scale deployment of this smart inspection system in the whole railway infrastructure
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| Additional Solution Information |
Anavision_Proposal_EMSD_W0408_22042701.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Anavision Limited | | Address | : | Unit A, 13/F, Worldwide Centre, 123 Tung Chau Street, Tai Kok Tsui, Kowloon, HK | | Contact Person | : | William Tao |
| Position | : | Executive Director | | Tel | : | 51726084 | | Email | : |
william.tao@anavision.com | | Webpage | : | http://www.anavision.com/ |
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