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.
Visit our new blog forum and educational resource, available starting today
We’re launching today our comprehensive blog to share industry information and education with our community of engineers, integrators, and industry insiders, with the focus on acting as the ‘go to’ resource for the biometric industry. Designed and developed by ROC...
How Automated Face Recognition Works
Automated face recognition algorithms rely on highly complex mathematical models, but at a high level many of the techniques performed are rather easy to understand. In this article we provide a high level guide of how automated face recognition algorithms work.
Face Recognition Dictionary
A comprehensive set of definitions and terms used when discussing face recognition technology.
Hello, World! Welcome to the Rank One blog
Automated face recognition (FR) is one of the fastest growing and most exciting technologies in the world. This blog will keep readers informed on all facets of integrating and using automated face recognition algorithms.
Now Available: ROC SDK version 1.17, featuring faster processing speeds, accuracy enhancements, and key usability improvements
ROC SDK version 1.17 is now available. With this new release users will receive more accuracy enhancements, faster processing speeds, and usability improvements. The biggest improvement with version 1.17 is another order-of-magnitude reduction in false positive error...
Now Available: ROC SDK version 1.16, with significant feature enhancements
Rank One is pleased to announce the release of version 1.16 of the ROC SDK, which includes another round of significant feature enhancements to the world's most versatile face recognition solution. Several accuracy improvements have been made to the SDK in this...
Now Available: ROC SDK version 1.15, featuring unprecedented improvements in accuracy
We are excited to announce the release of version 1.15 of the ROC SDK, the world’s most versatile face recognition solution. We self-impose an expectation to release new versions of the ROC SDK on an ongoing three-month cycle and to provide our users with accuracy,...