FB pixel

NtechLab scores highest biometric matching accuracy rates in three NIST test categories


biometric facial recognition

NtechLab is trumpeting its success in the recent Face Recognition Vendor Test (FRVT) from the U.S. National Institute of Standards and Technology (NIST), in which the company’s facial recognition algorithm was found to have the highest biometric matching accuracy ever in three different categories of the 1:1 Verification benchmark.

The algorithm from NtechLab scored the lowest error rate in the Visa Photos, Visa Border and Border Photos categories, and second for the Mugshot Photos database. The company says it has also tested in the top three for efficiency in identifying people wearing masks.

More than 100 algorithms were submitted for the NIST benchmark from developers around the world.

“In the last few years, the competition in the field has increased, as well as the accuracy and the of the competitor algorithms,” states NtechLab Co-founder and Head of its Neural Network Research Lab Artem Kukharenko. “Today we can say with certainty that the NtechLab intelligent video-analytics platform is the best worldwide judging by a whole range of criteria. To achieve this result NtechLab engineers used the most innovative methods for neural network training and new algorithms for data processing and preparation for machine learning. The results of these developments are already implemented in NtechLab products and will serve to improve the safety and comfort of smart cities’ population across the world.”

Kukharenko told Biometric Update in an interview last year that the company’s algorithms can process feeds from 100 video cameras on a single GPU.

NtechLab has also had strong showings in testing by IARPA, the WIDER Pedestrian Challenge, and the ActEV-PC, according to the announcement.

The company also raised $15 million to expand the adoption of its face biometrics around the world in 2020.

Article Topics

 |   |   |   |   |   |   |   |   |   | 

Latest Biometrics News


As retailers turn to biometrics to reduce theft, costs of poor implementation loom

Demand for biometrics to reduce retail crime continues to rise, but the risk of flawed deployments of the technology are…


Socure announces faster biometric IDV, deepfake and synthetic identity fraud detection

Identity verification provider Socure has announced the launch of its next generation DocV, now including enhanced deepfake selfie biometrics detection…


Rights group criticize EU AI Act for inadequate protections against potential abuse

The EU’s AI Act is done, and no one is happy. Having been adopted by the European Parliament in March…


Kids Code bills prompt epic showdown between regulators, activists and big tech firms

The latest craze sweeping the United States – legislation to protect kids’ data and overall online safety – has its…


UK’s £54M welfare fraud case illustrates need for biometric identity verification

A team of fraudsters has been convicted for what was described as “the largest case of benefit fraud in England…


Intellicheck, OneID tout banks’ unique position to cut fraud as digital ID enablers

Banks could play a significantly larger role in protecting consumers, businesses and payment systems from fraud, Intellicheck CEO Bryan Lewis…


Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Read From This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events