Rank One delivered another impressive performance in the latest iteration of the NIST FRVT Ongoing benchmark. This report included the ROC SDK v1.18 (listed as “rankone-006” in the report), with the following metrics: ROC SDK v1.18rankone-0062019-02-27 ROC SDK...
Perhaps no technology is improving as rapidly as automated face recognition. For example, over the last four years Rank One has reduced the False Non-Match Rate of our algorithm by over 50x:Other face recognition vendors are similarly improving their accuracy at a...
The ROC SDK version 1.18 is now available to Rank One’s user community! This release is one of the most exciting progressions to Rank One’s face recognition algorithms ever delivered, with substantial accuracy improvements and several new features. Accuracy...
On Thursday, November 29th, 2018, I presented this topic at the National Institute of Standards and Technology (NIST) International Face Performance Conference (IFPC) in Gaithersburg, MD. “And suddenly, face recognition technology was everywhere…”...
One of many critical considerations when selecting a face recognition SDK or system is the accuracy of the underlying algorithm. Even though an algorithm may meet your hardware requirements, licensing budget, support needs, or other decisive factors, if it is not...
