| I&T Solution |
Development of Artificial Intelligence Lift and Escalator Automatic Inspection Planning Systems
(REF: S-1727) |
| Trial Project |
|
| Solution Feature |
- Optimize lift and escalator inspection efficiency and effectiveness
- Enhance inspection ranking and enforcement with risk-based approach
- Predict optimal inspection rankings based on big data
- Maintain inspection effectiveness and safety without increased manpower
- Process EMSD's diverse data on L&E systems and stakeholders
|
| Trial Application and Expected Outcome |
- Big data-driven intelligent L/E risk assessment system
- Integrated data pipelines and transformation frameworks to capture multi-source big data inputs
- Dynamic optimization of L/E risk assessment and ranking
- Output risk ranking results to provide a basis for government regulation and enforcement
- 95%+ assessment accuracy, improving L/E inspection efficiency and targeting to ensure safety in Hong Kong
|
| Additional Solution Information |
EMSD_W0536.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | Green AI Technology Co., Limited | | Address | : | Room 556, 5/F, Building 19W, 19 Science Park West Avenue, Pak Shek Kok, N.T., H.K. | | Contact Person | : | Ho Lok Lam |
| Position | : | CEO | | Tel | : | 62135937 | | Email | : |
colalam@greenaitech.com | | Webpage | : | https://www.greenaitech.com/ |
|
