| I&T Solution |
Artificial Intelligence Lift and Escalator Automatic Inspection Planning System
(REF: S-1723) |
| Trial Project |
|
| Solution Feature |
- Predictive Analytics over numeric, categorical and semantic data
- Predictive Analytics with Explainable AI
- Prediction in line with existing practices of specific entity (LE Model & Safety Component) and workflows
- Forecast the most effective L&E inspection ranking with risk base approach
- High accuracy and speed with great predictive algorithm and search engine
|
| Trial Application and Expected Outcome |
- Predictive model to support various type of data including numeric, categorical and semantic data
- Predictive Analytics that the prediction could be explained with various core features
- Data from various sources are adapted and integrated to the prediction model with current terms and workflows
- Forecast on the most effective L&E inspection ranking with risk base approach
- 95% accuracy and process time in seconds
|
| Additional Solution Information |
AI Predictive Analytics for Lift and Escalator.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | imimr systems limited | | Address | : | Unit 9, 5/F, TusPark, 118 Wai Yip Street, Kwun Tong | | Contact Person | : | KC Lee |
| Position | : | Business Director | | Tel | : | 31881788 | | Email | : |
kc@imimr.net | | Webpage | : | www.bizby.ai |
|
