Mar 24, 2020 | Blog, ROC SDK
The ROC SDK v1.20 was released in Nov. 2019, and delivered wide ranging improvements, including major accuracy improvements. This algorithm delivers top-tier accuracy alongside industry leading efficiency according to the latest NIST FRVT 1:N report released a few...
Feb 12, 2020 | Blog, Educational, ROC SDK
When building mobile, on-edge, or embedded face recognition applications, there is typically a small amount of memory (i.e. RAM) available. If a face recognition algorithm requires an extensive amount of RAM to perform enrollment and matching, then this could increase...
Nov 25, 2019 | Blog, ROC SDK
Rank One is pleased to announce a major enhancement to the ROC face recognition SDK with the newly released version 1.20. The most significant improvement is in face recognition accuracy, with as much as a 40% reduction in error rates in certain operating conditions. ...
Nov 22, 2019 | Blog, Policy
Rank One Computing believes in a just, non-violent world of equality and fairness. We prize democratic values, civil liberties and open and informed debate. When used to further these values, automated face recognition can continue to make the world a safer, better...
Sep 12, 2019 | Blog, Educational, Policy
There is a misconception that face recognition algorithms do not work on persons of color, or are otherwise inaccurate in general. This is not true. The truth is that across a wide range of applications, modern face recognition algorithms achieve remarkably high...
Aug 12, 2019 | Blog, Educational, Reference
When automated face recognition technology is used for analyzing streaming video, an important question is: how much computer hardware is needed? The hardware required to process video depends on several factors which will be discussed in this article. After reading...
