Rank One Releases Facial Recognition Embedded Algorithm Update
01/23/2019

The ROC Embedded solution redefines the art of the possible in mobile, embedded device, and video processing applications.

Online PR News – 23-January-2019 – Denver, Colorado – U.S. based Rank One Computing, known for having the fastest and most compact algorithms in the industry, announces its most recent update for use in mobile, embedded device, and video processing applications.

To meet the demand for certain applications, ROC's latest update increases its solution speed by 300%, with enrollment speeds that are less than 30ms on a single CPU core with an 85 byte template size. This latest improvement also offers a memory footprint that is only 7MB, as well as accuracy that surpasses the most accurate algorithms in recent years past.

The company consistently delivers algorithms at the top of NIST benchmarks in the categories of speed and accuracy. These characteristics have made the ROC SDK the go-to solution for mobile and embedded devices as well as for processing large amounts of streaming video, and its solutions are now even faster.

In every release to date, Rank One has led the industry in redefining speed and efficiency standards while maintaining top-tier accuracy. In this latest release, the ROC Embedded solution redefines the art of the possible in mobile, embedded device, and video processing applications.

For more information on this or other ROC solutions and applications, please contact us at
https://www.rankone.io/.

ABOUT RANK ONE: Rank One Computing's proprietary face recognition engine powers over 100M identity proofing verifications annually, partnering with the U.S. Department of Defense, major national banks, a leading credit card provider, and key law enforcement agencies.
Created and based in the U.S., we provide the industry's most accurate and compact facial recognition solution.