Florida-based human analytics firm Kairos has licenced a facial recognition technology developed through the University of Central Florida's Centre for Research in Computer Vision.Kairos will now incorporate the new computer vision technology within a core facial recognition product designed to serve enterprise customers within a variety of industries including the hospitality, workforce and electronic payment sectors.In a statement, the UCF Centre for Research in Computer Vision said its team – led by professor Mubarak Shah – had developed a technology to significantly improve the ability to accurately complete facial identification of individuals in photos and video.”The capability of this facial recognition technology is very exciting to us,” Brian Brackeen, CEO of Kairos. “Facial recognition technology has been developing over the past few decades, however, video-with its motion and variations in illumination-has long been the challenge. Dr. Shah and his team have developed the right solution that combines accuracy, speed and deployability for the commercial market.” The technology is based on an algorithm developed by the UCF team to focus on specific facial features that then converts a photo into a checkerboard of patches and extracted tiny snapshots of the most significant facial parts.The computer program than compares the photo against a database of photos, feature by feature, and identifies the match. This is highly attractive within the hospitality, amusement, healthcare and electronic payment industries where organizations find it beneficial to quickly and reliably identify consumers, whether for promotional opportunities or access issues.In its application for video, the technology provides an end-to-end face recognition system that addresses the difficult problem of identifying a video face track using a large database of still face images. Traditional technologies are based on an expensive frame-by-frame method. Dr. Shah and his team of researchers developed a novel algorithm Mean Sequence SRC that performs video face recognition using a joint optimization leveraging all of the available video data and the knowledge that the face track frames belong to the same individual.”Working with Kairos provides the perfect illustration of how UCF research and UCF-developed technologies are not only brought to fruition but are also applied to the commercial marketplace,” said Narasimha Nagaiah (Raju), licensing associate with UCF's Office of Technology Transfer, who facilitated the license agreement.