Camvi wins Wild Image portion of NIST face recognition competition
The FRVT report includes measurements for the accuracy, speed, storage and memory consumption, and resilience of algorithms submitted for testing against the Wild Image dataset. Images in the dataset, which is the most challenging for face recognition, according to the announcement, have widely varying resolution, wide yaw and pitch pose variation, and can be occluded.
Camvi says in addition to its top accuracy score, its technology is among the fastest and most scalable available.
“We are very pleased that our advanced face recognition technology was recognized by NIST as a top-ranking technology,” said John Chen, President and Chief Executive Officer of Camvi Technologies Inc. “We have put a tremendous amount of effort into developing the fastest, most accurate and most scalable face recognition technology and our efforts were reflected in the latest FRVT results. We are very confident of the immediate and broad applicability of Camvi’s solutions in a wide range of applications.”
YITU remains atop the overall leaderboard in the ongoing test, after staking an early lead with wins in both VISA photo categories.
Camvi recently gave a presentation to U.S. federal law enforcement executives on biometrics at the edge at FedID.