| I&T Solution |
AI powered FEI Risk Analysis
(REF: S-1932) |
| Trial Project |
|
| Solution Feature |
- Risk Analysis and Prediction for FEI using AI Technologies including Principal Component Analysis (PCA), Time-Series Forecasting Models and Regression Analysis
- Raw Operation Data Collection for Risk Analysis, including but not limited to current load, building age, environment temperature and humidity
- Long Short-Term Memory (LSTM) based models for current load analysis with relationship on time
- Convert hand writing to text using Optical Character Recognition (OCR)
- Deep Neural Network for component identification on schematic diagram
|
| Trial Application and Expected Outcome |
- Develop AI Model performing Principal Component Analysis (PCA) for potential risk prediction for FEI
- Develop AI Model performing Time-Series Forecasting Models to identify current loading pattern of FEI
- Develop an OCR Model for recognizing handwriting on scanned WR2 submission form
- Develop AI Model for identifying different electrical components on a schematic diagram
- Interface the above analyzed data into existing EMSD systems or database
|
| Additional Solution Information |
EMSD_FEI_Risk_Prioritzation.pdf
|
| Info on I&T Solution Provider |
| Solution Provider | : | Karmo International Co. Ltd. | | Address | : | Unit 252, 2/F, Building 12W, Hong Kong Science Park, Sha Tin, NT | | Contact Person | : | LAU Ping Hong |
| Position | : | Director | | Tel | : | 9184 4699 | | Email | : |
nelson.lau@karmo.com.hk | | Webpage | : | www.karmo.com.hk |
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