Oz Biometry Reviews

Oz Biometry Description

The biometric module, developed by Oz Forensics experts, incorporates the latest practices of artificial intelligence. It is continually improved through continuous data enrichment. The face recognition algorithm developed by Oz Forensics has achieved one of best accuracy results on the LFW dataset during University of Massachusetts tests for 2020 MIT LFW. The Oz Biometry module identifies people in less than 1 second with 99.87% accuracy.

Since the start of 2010, every smartphone has had a front-facing camera. This makes facial biometrics an easy way to authenticate. Face biometry is used in both the registration process as well as the search and authentication process on large biometric database.

In the KYC process, facial biometrics is used to compare selfie photos against photographs taken from documents and confirm that a user's presence in biometric "black lists" and "white lists" has been confirmed.