| I&T Solution |
AI-based Smart Railways Incident Database
(REF: S-0871) |
| Matched I&T Wish |
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| Trial Project |
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| Solution Feature |
- Building a generic, consolidated and comprehensive railways incident database
- The database shall contain the keywords and attributes of the incidents through the data tagging process with AI NLP
- Users can use the AI system to search historical incidents by a flexible and unstructured way
- The AI can extract similar cases that have close proximity instantly.
- AI can also identify "hidden" symptoms of the incidents based on the correlations of the attributes, perform trend analysis
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| Trial Application and Expected Outcome |
- AI-based Smart Railways Incident Database which enables the searching of related incidents based on inputted incidents in natural language;
- Trend analysis reports derived via visualization tools such as Tableau
- An AI-based tool for analyzing the uploaded railway company incident summaries and reports
- AI tool for identifying “hidden symptoms” of the incidents for continuous improvement of the database upon incident enquiries.
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| Info on I&T Solution Provider |
| Solution Provider | : | RISKSIS TECHNOLOGY LIMITED | | Address | : | Room 701, Building 10W, Hong Kong Science Park | | Contact Person | : | Alan |
| Position | : | Director | | Tel | : | 60516869 | | Email | : |
alan.lee@risksis.com | | Webpage | : | www.risksis.com |
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