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Neurotechnology, a provider of Deep Learning-based solutions and high-precision biometric identification technologies, today announced the release of its new Face Verification system. Face Verification 12 is designed to integrate facial authentication and liveness detection into PC, mobile, and web applications for digital onboarding, payments, banking, telecommunications, and other facial recognition applications on personal devices.

Face Verification 12 from Neurotechnology is designed for the integration of facial authentication and liveness detection into PC, mobile and web applications for digital onboarding, payment, banking, telecommunications and other face recognition uses on personal devices.

The new facial recognition algorithm in Face Verification 12 has the same simple APIs as the previous version for enrollment, authenticity verification, authentication, and ISO 19794-5 quality verification while providing even higher accuracy in both face recognition and authenticity detection. It also includes a new encrypted biometric template format with a compact size. This compact template size makes it easier to store biometric data on small microcontrollers or even embed it in a QR code with other data, improving the overall versatility of the product for use in a wider range of environments.

The new version introduces a web service component that provides server-based performance for all operations previously available only for use on mobile devices and PCs. The web service can be deployed on a system integrator’s server or an end user’s server, and operations can be performed via WebRTC and REST API while live streaming from a camera is processed in real-time.

Face Verification 12 adds an improved passive mode for both mobile and server components. The new passive modality requires no active action from the user and is capable of detecting various types of spoofing attacks, including masks, videos, photos, and others. The new Liveness modality complements the passive and active modalities of the previous Face Verification SDK, including an improved blink detection algorithm.

The new SDK component of the face verification system also allows users to export the generated biometric face data and use it for enrollment and verification on smart cards that integrate the new MegaMatcher On Card 12 algorithm released by Neurotechnology on November 29, 2021. This smart card technology performs face pattern matching on the card and can be used as an additional authentication factor for applications that require a very high level of security. The combination of Face Verification and MegaMatcher On Card forms a unique product ecosystem in the identity verification market, offering even more flexibility and value.

“We see an increasing demand for face recognition technology for consumer applications,” said Antonello Mincone, business development manager for Neurotechnology. “However the requirements vary widely, depending on the location where data is stored, where the biometric checks are perfomed and the different privacy and security regulations involved. Face Verification 12 responds to this demand with a new web service component and smart card compatibility that expand the architectural capabilities for face authentication. It allows system integrators to easily implement and deploy different enrollment and authentication workflows for mobile, web, and hybrid applications,” Mincone added.

Face Verification 12 has a convenient licensing model that only takes into account the number of people who have actually used the deployed system, regardless of whether enrollment or authentication was done via mobile or the Internet. This allows the same biometric data, once captured, to be later verified in a variety of authentication scenarios and without additional operational costs.

Face Verification 12 and Neurotechnology’s entire biometric product line are available for purchase from Neurotechnology and through distributors worldwide. A demo application of the web service is available at An Android demo, a trial version of the SDK, and a trial version of the web service are also available. For more information, visit or