Rank One Computing Blog

A guide to automated face recognition algorithms.

Race and Face Recognition Accuracy: Common Misconceptions

Race and Face Recognition Accuracy: Common Misconceptions

There is a misperception 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 accuracy on all races, and accuracy continues to improve at an exponential rate.

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Overview of ROC SDK Version 1.19

The ROC SDK version 1.19 delivers top-tier accuracy and industry leading efficiency. This new version comes with accuracy improvements, clustering enhancements, homomorphic encrypted matching, GPU enrollment, and several other enhancements.

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How Forensic Face Recognition Works

How Forensic Face Recognition Works

Law enforcement primarily uses face recognition as a post-incident forensic tool to enable detectives and analysts to generate investigative leads in violent and harmful crimes. In this article we explain how forensic face recognition works, and how it is used by law enforcement in this country.  

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When Misinformation Endangers Lives

When Misinformation Endangers Lives

The use of automated face recognition in law enforcement is one of the most powerful tools available in today’s law enforcement investigations, and delivers substantial benefits to society without any documented cases of law enforcement misuse.

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Evergreen Licensing

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...

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