The new version introduces a web service component that provides server-based performance for all operations that were previously only available for use on mobile devices and PCs. The web service is ready to be deployed to a system integrator’s or end-customer’s server, and operations can be performed through a WebRTC and REST API while processing live streaming from a camera in real time.
Face Verification 12 adds enhanced passive mode to mobile components and servers. The new passive modality requires no active user action and is capable of detecting various types of impersonation attacks including masks, videos, photos and more. The new liveliness modality is in addition to the passive and active modalities of the previous Face Verification SDK, including an improved blink detection algorithm.
The new facial verification system SDK component also allows users to export the facial biometric data that is generated and use it to perform 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-to-card model comparisons and can be used as an additional authentication factor for applications that require a very high degree of security. The combination of Face Verification and MegaMatcher On Card forms a unique product ecosystem in the identity verification market and offers even more flexibility and value.
âWe are seeing an increasing demand for facial recognition technology for consumer applications,â said Antonello Mincone, responsible for the business development of Neurotechnology. âHowever, the requirements vary widely, depending on where data is stored, where biometric checks are performed, and different privacy and security regulations. Face Verification 12 responds to this demand with a new web service component and smart card compatibility that extend the architectural capabilities for facial authentication. It enables system integrators to easily implement and deploy various enrollment and authentication workflows for mobile, web and hybrid applications, âadded Mincone.
Face Verification 12 has a convenient licensing model that only considers the number of people who have actually used the deployed system, regardless of whether registration or activity monitoring took place on mobile or the web. Thus, the same biometric data, once enrolled, can be verified later in various authentication scenarios and without additional operational costs.
Face Verification 12 and the entire Neurotechnology biometric product line can be purchased from Neurotechnology and through distributors worldwide. A web service demo application is available at faceverification.online. An Android demo, a trial version of the SDK and a trial version of the web service are also available. For more information, visit faceverification.com Where www.neurotechnology.com.
Neurotechnology is a developer of high precision algorithms and software based on deep neural networks and other AI-related technologies. The company was started in 1990 in Vilnius, Lithuania, with the key idea of ââusing neural networks for various applications, such as biometric identification of people, computer vision, robotics and artificial intelligence. Since the first version of its fingerprint identification system in 1991, the company has shipped over 200 products and version upgrades. More than 3,000 system integrators, security companies and hardware vendors in more than 140 countries integrate Neurotechnology algorithms into their products. The company’s algorithms have performed best in independent technology assessments, including NIST MINEX, PFT, FRVT, and IREX. www.neurotechnology.com