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Biometric face recognition with the highest accuracy: 99.99% in NIST FRVT.
Developed by Oz Forensics specialists, the biometric module incorporates the latest practices in artificial intelligence and is consistently improved by continuous data enrichment. Face recognition algorithm from Oz Forensics achieved one of the best test results in accuracy on LFW dataset in University of Massachussets tests in 2020 MIT LFW. The Oz Biometry module allows to identify people with a speed of less than 1 second and with 99.87% accuracy
Since the beginning of the 2010s, every smartphone has a front camera, which makes facial biometrics a natural way for authentication. Face biometry can be used both in the registration process, and in the process of searching and authentication on large biometric databases.
Facial biometrics are used in the KYC process to compare selfie photos with photographs from documents, as well as to confirm the presence of a user in biometric “black” and “white” lists.
This product is intended for
- Fraud Officer
- Head of Security
- Security Professional
- Cyber Security Analyst
- Director of Information Technology
- Chief Technology Officer
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Oz Biometry
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Use in KYC processes
Selfie - Photo from document or from database photo Comparison of a client's selfie with a photo from a document or from a photo stored in a government database in the process of client identification.
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Selfie - Photo previously uploaded to the server
Comparison of the client's selfie with his previously uploaded photo to the server during authentication.
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