| I&T Solution |
AI Analytics System for Risk Prioritization Analysis on Fixed Electrical Installations
(REF: S-1929) |
| Trial Project |
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| Solution Feature |
- An AI-powered risk analysis engine for Fixed Electrical Installations (FEI), utilizing AI models trained on historical data from the existing EMSD system and database. The engine will generate and provide risk analysis reports.
- An OCR engine to extract input data from WR2 submission forms and perform verification and cross-validation with the EMSD database.
- An AI-powered schematic analytics engine to extract and compare schematic diagrams and signature images. The engine can calculate similarity and highlight differences between schematics.
- System analysis results will be displayed on a web-based platform. System administrators can configure and adjust parameters through this platform.
- The AI analytics system will be hosted on an on-premise server, interfacing with the existing EMSD system and database for data retrieval. Data analysis, inference, and hosting of the web-based platform will be performed locally on the device.
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| Trial Application and Expected Outcome |
- The AI analytics system will interface with the EMSD database to retrieve historical data on FEI. Provide trained AI models and algorithms for FEI risk analysis.
- Trained OCR models will extract input data from WR2 submission forms, and developed algorithms will perform verification and cross-validation with the existing EMSD database.
- Trained AI models and algorithms will detect schematic diagrams and signatures, with the ability to analyze and compare them.
- A web-based platform will be designed and provided as an interface for end-users to view analysis reports and comparisons, and for system administrators to perform configuration.
- The on-premise server for the AI analytics system will be designed, supplied, and implemented. The system will conform to EMSD network security rules, including but not limited to using software within its support life cycle.
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| Additional Solution Information |
W-0572-supplement.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Sebit Company Limited | | Address | : | Unit 215B, 2/F, Enterprise Place, 5 Science Park West Avenue, Hong Kong Science Park, N.T. Hong Kong | | Contact Person | : | NG YIU WING |
| Position | : | Director | | Tel | : | 39052032 | | Email | : |
wingng@sebit.world | | Webpage | : | https://sebit.world |
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