ID R&D launches passive biometric facial liveness detection to beat fraud with frictionless experience

Categories Biometric R&D  |  Biometrics News  |  Trade Notes

ID R&D has launched a wholly passive facial liveness detection capability to remove friction to the user experience, which it says is the first production-ready technology of its kind in the industry.

IDLive Face applies artificial intelligence-based algorithms to perform liveness validation without requiring any action on the part of the end user, as many other liveness detection technologies do. By moving the liveness detection process to the application’s background, ID R&D says it also makes the process invisible to fraudsters, preventing them from learning how to attempt spoof attacks against the proprietary process.

The initial release runs on a server architecture with near real-time image processing on a typical server, and faster speeds possible with GPUs. The algorithm is effective for both native mobile phone-based image capture and web image capture via smartphone or desktop computer, with no special capture software, according to the announcement. Accuracy rates meet or exceed industry expectations for false positives and false negatives in early customer implementations, the company says.

“IDLive Face requires absolutely no actions from the end user,” says ID R&D CEO Alexey Khitrov. “Eliminating complexity in the user experience is one of the primary focus areas of our research. After failing to find other solutions in the marketplace that detect facial liveness in a passive way, we set out to solve this incredibly difficult challenge. Armed with excellent real-world results, we are thrilled to offer businesses fully frictionless authentication that aligns with rigorous compliance requirements for onboarding and data management. Our multimodal biometric solutions offer robust security and unrivaled convenience, and we are proud to be powering the future of authentication.”

IDLive Face is available as an SDK or in a Docker container for Linux and Windows, and can be easily integrated with existing or new applications on Android, iOS, and web-based platforms. The technology is also built into ID R&D’s SafeChat authentication solution for chatbots and virtual assistants.

ID R&D launched a new version of its voice biometrics software with ten times faster matching speed in July.

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