OZ Livenessmodule
To confirm the face of a living person
OZ Biometrymodule
Face biometry of video and photo identification
Simple integration
Visual reporting
High precision
Flexibility
Delivery options
Ease-of-use
Liveness application is the application for mobile online customer registration and authentication. Over 10,000 registrations per month is currently done for the financial sector.
The algorithm is resistant to the following attacks:
Architecture:
SDK Liveness for action control and video recording
Server and API Liveness for the cupture of the best shot and protect against biometry attacks
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.
Oz Forensics Face Recogntion Algorithms allow:
Face recognition accuracy: 99,87%AI-based
Photo or video taken with a web camera is compared with the photo in the passport scan OR with a photo and video database using key features
Verdict: match or no match = 99,87% accuracy
All products include:
Simple,
modularized APIs
Flexible SDKs for iOS,
Android and web
Easy integration
using Docker
Get a demo >
