UAE government and enterprise clients, with NNTC · Public safety and utilities · 2022
Face recognition and an industrial digital twin for UAE government clients
Face recognition tested against a database of more than a million faces, and 5,000+ plant components turned into a working VR model.
Face recognition tested against a database of more than a million faces, and 5,000+ plant components turned into a working VR model.
- 1M+
- Faces in the test database
- 99.7%
- On-device accuracy
- 5,000+
- Components digitised
The challenge
Deliver emerging-technology pilots (face recognition, VR training, industrial digital twins) that hold up in real security and operating environments, not only in a demo.
Our approach
Mohammed Bajarsh, now on the EZ Tech team, delivered these as technical consultant at NNTC in Dubai, working directly with the client teams who would use them.
What we built
Face recognition solutions tested with Dubai Police, smart glasses with 99.7% on-device accuracy, and a digital twin of a sewage treatment plant that converts its piping and instrumentation diagrams into an operational VR training model.
The result
Shown at GITEX, UMEX and the World Police Summit, and taken up for real government evaluation and training use.