Camvi Technologies announced on Friday that its advanced face recognition technology was ranked #1 in accuracy for Mugshot Photos in the most recent Face Recognition Vendor Tests (FRVT) conducted by the National Institute of Standards and Technology (NIST).In the FRVT report released by NIST on July 31, 2019, Camvi's advanced face recognition algorithm was ranked #1 as the most accurate algorithm for Mugshot Photos among 139 algorithms submitted by 88 companies around the world. The Mugshot Photos dataset used in the NIST FRVT comprises millions of live capture mugshots from millions of subjects in the United States. It is one of the largest datasets tested in the NIST FRVT, which involved face images of the same subjects, taken 14 years apart. Face recognition accuracy over time, specifically spanning 10 years or more, is one of the most challenging scenarios for face identification systems today.”We are very pleased that our advanced face recognition technology was once again recognized by NIST as a top-ranking technology,” said John Chen, President and Chief Executive Officer of Camvi Technologies Inc. “In the latest FRVT, our algorithm was ranked #1 in accuracy for Mugshot Photos. Camvi was also ranked #1 in accuracy for Wild Photos in the FRVT report and set the world record in LFW earlier this year. Our dexterity with recognition algorithms ensures that Camvi's solutions are the most effective in a wide range of industry applications.”Camvi, an industry leader in the U.S. and worldwide, is growing rapidly as its comprehensive technology platform is being adopted by both government agencies and commercial enterprises. Camvi's customers benefit from the unparalleled accuracy, speed and scalability of Camvi's state-of-the-art, patent-pending face and object recognition technology.