| I&T Solution |
Intelligent Document Analytics for e-Tender Report System
(REF: S-1574) |
| Trial Project |
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| Solution Feature |
- Applying image pre-processing algorithms to enhance the quality of scanned documents before OCR or HTR extraction.
- Optical Character Recognition (OCR) to process scanned or printed documents with various formats and fonts.
- Handwritten Text Recognition (HTR) to recognize and extract information from handwritten documents, ensuring accurate data extraction from tender reports.
- Computer vision techniques to detect and extract tables from tender reports with multiple types of layouts.
- Sensitive and restricted information will be encrypted by the password. A backend platform will be developed for authorized users to manage the data easily. The data will be stored in the local server.
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| Trial Application and Expected Outcome |
- Implement image enhancement techniques to improve the quality of scanned proposals, resulting in more accurate extraction and analysis.
- The OCR should scan the printed words precisely. Documents in different formats and fonts should be detected correctly.
- The system should be able to accurately recognize and extract information from handwritten fields.
- The algorithms can analyze and extract data in tables from tender reports, facilitating better evaluation and decision-making.
- Implement encryption, access controls, and anonymization techniques to protect sensitive information in the tender reports, only authorized users can access the protected information in the platform.
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| Info on I&T Solution Provider |
| Solution Provider | : | Green AI Technology Limited | | Address | : | FLAT/RM B, 4/F, Yee Wah Industrial Building, 18 SAN ON STREET, TUEN MUN | | Contact Person | : | Cola Lam |
| Position | : | Co-founder and CEO | | Tel | : | 62135937 | | Email | : |
colalam@greenaitech.com | | Webpage | : | www.greenaitech.com |
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