Face Verification Demo App

What it is?
Face Verification App is a demo of the Face Verification system from Neurotechnology. The system is based on company’s proprietary algorithms, which provide advanced face localization, enrollment, matching and face liveness detection using robust digital image processing algorithms based on deep neural networks.

How this demo works?
• You can enroll your face.
• You can verify your face.
• You can check Liveness with different liveness check modes – active, passive, passive + blink and others.
• You can strengthen Liveness check with ICAO (ISO 19794-5) compliance checks – saturation, sharpness, red eye, glasses reflection and others.

If you are interested to more details about Face Verification used to build this demo you can visit https://faceverification.com

You can also try a web demo of Face Verification at https://faceverification.online

What are main features of Face Verification?

Simple and comprehensive API. Client and Web APIs provide operations for enrolling, verification, liveness check, quality check, importing face biometric templates generated with other Neurotechnology product.

Security and privacy. Depending from the implementation, the face images and biometric templates can be stored and used either only on the end-user device, or only on server, or on both. The face images are required only for template creation and face liveness detection, thus they can be disposed just after performing these operations.

Presentation Attack Detection. An unsupervised face verification system can be tricked by several types of attacks. The Face Verification system is able to prevent this kind of security breach by determining whether a face in a video stream belongs to a real person in front of the camera. The liveness detection can be performed in completely passive mode, when no cooperation is required from the user, and in active mode when the algorithm, in addition to passive checks, evaluates also user’s response to perform actions like blinking or head movements.

Face image quality determination. Quality checks according to Neurotechnology proprietary metric and ISO 19794-5 standard can be used during face enrollment and face liveness detection to ensure that only the best quality face template will be stored on the device or in the database.

Where it can be used?
Neurotechnology Face Verification system is intended for developing end-user mobile and web applications which perform identity verification on personal devices (PC, mobiles, tablets) in systems like:
• digital onboarding;
• online banking;
• payments;
• shops self-checkout;
• government e-services;
• social networks and media sharing services.

The simple API helps to implement solutions that need enhanced security through biometric face recognition and presentation attack detection. The library size for the devices is small and it is inclusive of all functionalities also available on the server component, with the possibility to perform authentication both online and offline.

Face Verification and Face Verification mobile app are developed by Neurotechnology. Neurotechnology is a developer of high-precision biometric algorithms and software based on deep neural networks and other AI-related technologies.