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Hardware Considerations when Architecting a Face Recognition System

Hardware Considerations when Architecting a Face Recognition System

by Brendan | Aug 11, 2021 | Educational, Reference

As the capabilities of automated face recognition algorithms continue to skyrocket, so does the number of face recognition (FR) applications being deployed. Whether it is using FR to unlock a phone, create an investigative lead to help identify a violent criminal,...
Rank One continues strong performance in most recent DHS Biometric Technology Rally

Rank One continues strong performance in most recent DHS Biometric Technology Rally

by Brendan | Mar 16, 2021 | Educational

In the Fall of 2020 the U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) hosted another Biometric Technology Rally to assess the capabilities of biometric algorithms for automated passenger identification in real-time screening...
Understanding the Importance of Peak Memory Usage

Understanding the Importance of Peak Memory Usage

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...
Race and Face Recognition Accuracy: Common Misconceptions

Race and Face Recognition Accuracy: Common Misconceptions

by Brendan | Sep 12, 2019 | Educational, Policy

There is a misconception 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...
Hardware requirements for video processing applications – Part 1: Template generation

Hardware requirements for video processing applications – Part 1: Template generation

by Brendan | Aug 12, 2019 | Educational, Reference

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. After reading...
Hardware requirements for video processing applications – Part 2: Template comparison

Hardware requirements for video processing applications – Part 2: Template comparison

by Brendan | Aug 11, 2019 | Educational, Reference

While enrolling video frames into templates is the bottleneck for video processing applications in face recognition, there is also a computational cost for using the generated templates for search and identity verification. While the cost is often negligible, for...
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