by Brendan | Feb 12, 2020 | 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...
by Brendan | Nov 25, 2019 | 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. ...
by Brendan | Sep 12, 2019 | 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...
by Brendan | Aug 12, 2019 | 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...
by Brendan | Aug 11, 2019 | Educational, Reference
While enrolling video frames into templates is the bottleneck for video processing applications in face recognition, there is also a computational cost for using the generated templates for search and identity verification. While the cost is often negligible, for...
