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 | Jul 18, 2019 | ROC SDK
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...
by Brendan | Apr 16, 2019 | ROC SDK
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 v1.18 rankone-006 2019-02-27 ROC SDK v1.17...
by Brendan | Apr 9, 2019 | Educational, 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...
by Brendan | Feb 12, 2019 | ROC SDK
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...
