Camvi Technologies’ advanced face recognition technology has been 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).
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, in a FRVT report released by NIST on July 31, 2019.
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.
(Camvi Technologies deployed its state-of-the-art, patent-pending face recognition technology at the 51st ASEAN Foreign Ministers’ Meeting held in Singapore in August 2018. Camvi has been working with Zoom Tech, an automatic gate manufacturer in Singapore, to design and develop a next generation auto-gate powered by Camvi’s cutting-edge face recognition technology. Courtesy of Camvi Technologies and YouTube.)
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,” explained 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.”
