OUR MODULAR SOLUTION >

OZ Livenessmodule

To confirm the face of a living person

OZ Biometrymodule

Face biometry of video and photo identification

How we help you succeed>

Simple integration

Oz Forensics has open APIs for automated banking systems

Visual reporting

All reports are provided in both graphic and text form

High precision

99,7% rate of positive results

Flexibility

You can use one or all modules as needed

Delivery options

We support access via the cloud, virtual machines and software installations

Ease-of-use

Our interface is easy to use and easy to learn

OZ Liveness >

Liveness application is the application for mobile and web customer registration and authentication

Oz Liveness is an application for mobile and web registration and user authentication. Over 200 000 checks globally every day. AS EASY AS TAKING A SELFIE.

Support of almost modern mobile devices and webcams
Simple to install Android / IOS / WEB SDK
Identification process time - 1-3 seconds
Accuracy - 100% based on iBeta test result (LEARN MORE)
Processing speed - 1 check per 1 second

The algorithm is resistant to the following attacks:

Printed paper facial images
Video playback device screens
Substitution of images in the process of Liveness
Cut-out paper masks
Animated avatars and deepfake
Sleeping person

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

Want to know more?

Download presentation

Oz BIOMETRY >

Biometric identification

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:

Detect and highlight the best shot from the video;
Compare face from photo with face photo from ID;
Perform a search in the biometric database.

The tech performance:

Face recognition accuracy: 99,87%AI-based

Industry test scores (NIST,MIT):

What different datasets are tested on?

VISA

Pairs of ISO type images - ISO/IEC 19794-5 Full Frontal. Pose is generally excellent. The image type is applicable to portrait for passport, driver license, and “mugshot” images. This dataset excludes "mugshot" images.

Only adults’ images.

Mugshot

Only USA adults` citizens images.

Visaborder

Pairs of the following images:

the first image - the image is taken from web-camera. This image is "partially" frontal and is done under the following conditions: different lighting, different angle of head rotation or partial overlap of the faces;

the second image is ISO type image - ISO/IEC 19794-5 Full Frontal . Pose is generally excellent. The image type is applicable to portrait for passport, driver license, and “mugshot” images. This dataset excludes "mugshot" images.

Only adults’ images.