Visage Technologies
Face Tracking & Analysis



Visage Technologies' face tracking is used for liveness detection by verifying facial motion. Our face detection and tracking can also serve as excellent basis for face recognition itself, by providing fully normalized face images.

Instead of relying on complicated passwords or keys, facial motion and liveness detection can be employed in user-friendly security measures.

While face detection and tracking can serve as an essential basis for face recognition by providing a fully normalized facial image, face tracking can also fulfill an important role in liveness detection. Liveness detection provides an additional layer of security that helps distinguish between a real person and an image, video, or mold.

This can be achieved by end-users performing specific, verifiable facial motions, such as turning, eye rotation or speech. Visage Technologies features a slim technological footprint and support for a wide array of platforms, allowing the development of extensive security frameworks based on our technology.

University of Reading and Veridos implemented our face detection, tracking and recognition technology in their project PROTECT. The aim of project PROTECT is to build an advanced biometric-based person identification system that works robustly across a range of border crossing types and that has strong user-centric features.

Our client Microblink used our face tracking technology for their BlinkID application which enables users to scan IDs, driver’s licenses, passports, work permits, visas, and other identity documents from their mobile phone. An added layer of security is introduced with the help of our visage|SDK FaceTrack to prevent possible fraud attempts.

The 1U application by Veridium (formerly Hoyos Labs) aims to simplify security measures by using biometrics. It uses our face tracking technology for liveness detection, which adds another layer of protection. With the help of visage|SDK FaceTrack, it utilizes your mobile devices´ camera to sense vitals from subtle facial movements, in order to make sure that the person trying to authenticate is indeed a real person and not an image or a video.


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