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. ...
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...
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...
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...
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...
Version 1.19 of the ROC SDK is now available! This release includes the following improvements and additions to our industry leading face recognition software libraries: Improved face recognition accuracy Improved facial clustering Added homomorphic encrypted...
