Photo Archive Applying Offline Facial Recognition Technology

I&T Solution Photo Archive Applying Offline Facial Recognition Technology
(REF: S-0939)
Trial Project
Solution Feature
  • A Fast and accurate offline AI photo archive system capable of finding a person from 300,000 plus photos
  • AI photo archive system with capacity up to 10 million photos
  • A robust AI facial recognition engine with great Cross Age Recognition performance
  • A robust AI facial recognition engine with great performance in handling racial bias effect
  • State Of The Art (SOTA) AI model for best performance
Trial Application and Expected Outcome
  • A Fast and accurate offline AI photo archive system with accuracy over 90% and response time less than one second
  • AI photo archive system capable of handling up to 10 million photos
  • A robust AI facial recognition engine with best performance for cross age photo searching compared to any facial recognition system available to the client
  • A robust AI facial recognition engine with best performance for dark skinned face photo searching compared to any facial recognition system available to the client
  • Successfully implemented the SOTA AI model to real application (ie. this project)
Info on I&T Solution Provider
Solution Provider:imimr systems limited
Address:Unit 6, 2/F, TusPark, 118 Wai Yip Street, Kwun Tong, Kowloon
Contact Person:KC Lee
Position:Business Director
Tel:852-69091111
Email: kc@imimr.net
Webpage: www.bizby.ai www.imimr.com

For details of the above I&T solution, please contact the I&T solution provider.