| I&T Solution |
AI solution of analysis of Lift and Escalator Reportable Incidents
(REF: S-0769) |
| Trial Project |
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| Solution Feature |
- We employ AI-OCR technology to recognize the simplified Chinese, Traditional Chinese, and English text in the document.
- We employ AI technology to recognize hand-written text in the documents.
- We employ AI-NLP technology to analyse the causes of the escalator and lift accidents.
- We employ AI-engine to generate the analysis report automatically.
- We employ big data technology to help analyse the causes of the escalator and lift accidents.
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| Trial Application and Expected Outcome |
- We employ deep learning based OCR technology to digitize the information contained in the scanned images of accident reports. We expect that our OCR model can recognize the vast majority of the text in the documents.
- We employ our text recognition model developed specifically for hand-written text to recognize the hand-written text in the documents. We expect that our model can recognize most of the hand-written text.
- We employ deep learning based NLP technology to extract and analyse the information from the digitized text. We expect that our model can automatically figure out the causes of the incidents.
- We employ AI-engine to generate a summary report automatically based on the information extracted by NLP technology. We expect that our AI system can classify all the documents and generate a final summary report.
- We employ big data technology to help analyse the accidents based on all the digitized information. We expect that our model is capable of handling all the escalator and lift incident reports of EMSD.
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| Additional Solution Information |
EMSD_Report.pdf
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| Info on I&T Solution Provider |
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