Neurotechnology brings facial recognition solution to web applications


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Neurotechnology announced a greatly improved version of its facial verification solution with improved algorithms and support for web applications.

Face Verification 12, which includes streamlined APIs to help customer organizations implement biometric facial recognition, offers a number of new and improved features, with one of the most notable being a web service component. The web service basically brings biometric operations that previously had to be done on a mobile device or PC to remote servers. This means that a customer can apply Neurotechnology’s facial recognition to a remote real-time streaming camera, with biometric operations performed through WebRTC and REST API.

Another important new feature of Face Verification 12 is its new encrypted biometric template format, which allows template sizes so compact that biometric data can be stored on microcontrollers or included in a QR code.

Commenting on the upgrade in a statement, Antonello Mincone, director of business development for neurotechnology, explained that the company has seen an increasing demand for facial recognition in consumer applications, but that “the requirements vary widely, depending on the company. location where data is stored, where biometric checks are performed and the various privacy and security rules involved ‘in each case.

“Face Verification 12 addresses this demand with a new web service component and smart card compatibility that extend the architectural capabilities for facial authentication,” he explained. “It allows system integrators to easily implement and deploy different enrollment and authentication workflows for mobile, web and hybrid applications.

Face Verification 12 also offers an enhanced passive vividness detection mode, which is able to search for vividness and signs of presentation attacks without any special action by the end user. Neurotechnology says the new liveliness solution includes an improved algorithm to detect an end user’s eye blink.

The liveliness detection algorithm is therefore even more precise than before, and this is also the case for the facial recognition algorithm of the solution. In addition, a new SDK component allows users to export biometric data and perform verification on smart cards that integrate the updated version of Neurotechnology. MegaMatcher SDK on card, also announced this week.

(Originally posted on FindBiometrics)

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