Procuring a Face Recognition Algorithm: Efficiency Considerations
This article will equip you with the knowledge to assess the efficiency requirements of your face recognition system. In turn, you will be able to factor this important consideration into your procurement process and potentially eliminate certain algorithms before the time consuming step of performing internal evaluations.
Rank One continues strong performance in NIST FRVT Ongoing testing
Rank One delivered another impressive performance in the latest iteration of the NIST FRVT Ongoing face recognition benchmark. While nearly every vendor had gaps in their algorithmic performance, Rank One’s v1.18 algorithm did not have a single performance deficiency....
Rank One continues strong performance in NIST FRVT Ongoing testing
Rank One delivered another impressive performance in the latest iteration of the NIST FRVT Ongoing face recognition benchmark. While nearly every vendor had gaps in their algorithmic performance, Rank One’s v1.18 algorithm did not have a single performance deficiency.
Evergreen Licensing
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...
Now Available: ROC SDK version 1.18, featuring substantial accuracy improvements and several new features
Rank One Computing has released version 1.18 of the ROC SDK, its flagship facial recognition solution, which is delivered with substantial accuracy improvements and several new features. Now available to Rank One’s user community, this release is one of the most...
Overview of ROC SDK Version 1.18
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.
Emerging Trends in Commercial Face Recognition
Face recognition technology is rapidly expanding as a convenience technology that allows quick and secure access to sensitive systems and facilities, and for people to ubiquitously interact with their environments. This article highlights the most prominent commercial applications of face recognition technology that are emerging.
Rank One Computing a top performer in latest NIST FRVT evaluation; Solution leads in combined accuracy and speed measurements
Rank One Computing achieved yet another round of sweeping improvements in the most recent NIST FRVT Ongoing Benchmark, reducing error rates by between 10% and 50% on all datasets while improving algorithm speed at the same time. Figure 2 in the report, a scatter plot...
Dr. Klares speaks at NIST IFPC 2018, Addressing Emerging Commercial Face Recognition Solutions
CEO Brendan Klare was a featured speaker last week at the NIST IFPC 2018, an international face recognition conference sponsored by the Department of Homeland Security’s Science and Technology Directorate. Dr. Klare was one of an exclusive set of speakers from across...
Procuring a Face Recognition Algorithm: How to Measure Accuracy
Choosing a face recognition algorithm that meets your accuracy requirements can be a daunting process. We simplify this process with a straightforward guide on how to measure algorithm accuracy and determine which algorithms are viable for your application.