| I&T Solution |
Photo Archive Applying Offline Facial Recognition Technology
(REF: S-0944) |
| Trial Project |
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| Solution Feature |
- Effective auditing and fast retrieval of a large person photos database.
- Apply cutting edge Convolution Neural Network deep learning algorithms to train the facial recognition AI engine.
- Tag and bookmark VIPs photos automatically or manually with selection criteria using interactive user interface.
- Support searching VIP photos by date and event name which appear in the folder names and the photos themselves.
- Auto check of duplicated photos inside the data management system to avoid memory usage redundancy.
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| Trial Application and Expected Outcome |
- Gather training data to start training the facial recognition AI engine.
- Evaluate the performance by accuracy (compare recognition result with ground truth) and inference time (how fast it is returned) [Internal trial].
- Setup and test a docker container with web portal and photo database query functions [Internal trial].
- Deploy the web portal with facial recognition AI engine as a docker image to the stakeholder's on-premises server [Trial run].
- Test the web server by uploading the database photos for users to search and make photo albums using person photos [Trial run].
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| Additional Solution Information |
2_Proposal-PhotoArchiveFacialRecog_2021-03-01_v3.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | High Tech Technology Limited | | Address | : | Unit 713, 7/F, Building 12W, No. 12 Science Park West Avenue, Hong Kong Science Park, Shatin, N.T., Hong Kong. | | Contact Person | : | Steve Chim |
| Position | : | Staff Engineer | | Tel | : | +852 3619 5374 | | Email | : |
stevechim@hightt.com | | Webpage | : | www.hightt.com |
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