| I&T Solution |
Smart Railway Defect Detection System
(REF: S-1701) |
| Trial Project |
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| Solution Feature |
- Installing an onboarding edge computing device to process the real-time video footage from both the camera and lidar sensor
- The AI Video Analysis is conducted from the combined video footages from both the camera and lidar sensor
- All the video sensor data is integrated with the RFID data to locate the defects position
- Predictive analysis would be conducted to identify high risk railway path for having defects
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| Trial Application and Expected Outcome |
- Using one railway cart for trial
- Conduct defect detection accuracy analysis comparing between manual labour and the AI solution
- Able to locate the defects location within 10m of discrepency
- The AI model is scalable and replicable to another railway cart
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| Info on I&T Solution Provider |
| Solution Provider | : | SOCIF LIMITED | | Address | : | Unit 527, 5/F, 5W Enterprise Place, Phase 1 Hong Kong Science Park, Pak Shek Kok, NT, HK | | Contact Person | : | Jason Yuen |
| Position | : | Chief Executive Officer | | Tel | : | 96649906 | | Email | : |
jason.yuen@socif.co | | Webpage | : | https://www.socif.co/ |
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