Top ranking again for Camvi’s facial biometric algorithm in NIST FRVT

Camvi Technologies reports that its biometric recognition technology was ranked first in accuracy for Mugshot Photos in the most recent Face Recognition Vendor Tests (FRVT) from NIST.

The FRVT report released July 31 show Camvi’s face recognition algorithm was ranked most accurate for Mugshot Photos among 139 algorithms submitted by 88 companies. The Mugshot Photos dataset used in the NIST FRVT comprises millions of live capture mugshots from millions of subjects in the United States and is one of the largest datasets tested in the NIST FRVT.

“We are very pleased that our advanced face recognition technology was once again recognized by NIST as a top-ranking technology,” says John Chen, President and CEO of Camvi Technologies Inc. “In the latest FRVT, our algorithm was ranked #1 in accuracy for Mugshot Photos. Our dexterity with recognition algorithms ensures that Camvi’s solutions are the most effective in a wide range of industry applications.”

Camvi achieved record-breaking accuracy of 99.87 percent earlier this year in the University of Massachusetts’ Labeled Faces in the Wild (LFW) benchmark test and placed number one for Wild Image accuracy in last November’s FRVT results.

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