Neurotechnology launches new face SDK
03 January 2019 16:14 GMT

Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, has announced the release of the new Face Verification software development kit (SDK). 

Face Verification SDK is designed for the integration of facial authentication into enterprise and consumer applications for mobile devices and PCs, providing enhanced security through biometric face recognition and liveness detection to prevent spoofing. The Face Verification SDK library has a simple API that makes it easy to implement solutions for payment authentication, banking know-your-customer (KYC) procedures, logins for e-services and many other types of secure applications that run on personal devices.

Face Verification SDK provides a subset of the capabilities in Neurotechnology’s more full-featured VeriLook SDK for facial identification, and it has a smaller library size compared to the previous Face Verification library in VeriLook version 10, allowing it to be deployed in even smaller applications based on Face Verificationtechnology. The new Face Verification SDK also inherits from VeriLook the ability to perform ICAO face image checks in accordance with the ISO 19794-5 standard. The checks may be used by the integrators to ensure the quality of the captured face image and used in combination with liveness detection to reinforce anti-spoofing measures.

Face Verification SDK also includes a flexible deployment mechanism which helps system integrators use it in transaction-based environments. At the same time, it allows face verification to be performed offline and keeps the server component on the end customer’s side.

“There’s high demand for biometric authentication right now in order to comply with the latest information security regulations set by governments and institutions,” said Antonello Mincone, business development manager for Neurotechnology. “Face Verification SDK provides a highly flexible solution for a variety of biometric facial authentication use cases along with a deployment model that adapts to the change requirements and rapid scalability required for use in payment and consumer markets.”