Rank One joins ITIF’s “Open Letter to Congress on Facial Recognition”
Rank One Computing joined prominent research organizations, law enforcement groups, and technology companies last week in sending an open letter to Congress that clarifies the misinformation being circulated regarding the technology, and pledges to support properly...
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.
Rank One achieves top matching algorithm performance in DHS Biometric Technology Rally
Rank One’s industry-leading facial recognition matching algorithm achieved the highest overall accuracy at the Department of Homeland Security’s second annual Biometric Technology Rally. The 2019 DHS Rally benchmarked automated airport security solutions by testing...
Hardware requirements for video processing applications – Part 1: Template generation
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.
Hardware requirements for video processing applications – Part 2: Template comparison
In this article we explain how to factor in the computational demand for template comparison in video processing applications. While this task is not as computational burdensome as template generation, for larger-scale applications it can become meaningful.
Now Available: ROC SDK version 1.19, featuring substantial accuracy improvements and several new features
Rank One Computing has released version 1.19 of the ROC SDK, its flagship facial recognition solution, featuring accuracy improvements across all use cases and important new features. Improved Facial Recognition Accuracy - Version 1.19 delivers across-the-board...
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.
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.
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.
10 Steps for Selecting a Face Recognition Algorithm
Follow these 10 steps to success when selecting face recognition SDK or system.