FB pixel

NEC America explains top biometric accuracy finish for masked faces in DHS Rally

 

mask detection

NEC Corporation of America’s face biometrics outperformed the median competition by 19 percent for identifying subjects wearing masks in the latest Biometric Technology Rally held by the U.S. Department of Homeland Security (DHS), the company has calculated.

The NEC-submitted algorithm, codenamed ‘Alan’ for the anonymized test, scored a 98.7 percent true identification rate (TIR) when used with the top-performing acquisition system, the best result in the Rally.

“Face masks are not a new challenge to NEC. They have been quite commonly used to protect public health throughout Japan and parts of Asia ever since H1N1 in 2009, or even before that,” explains Kris Ranganath, CTO of NEC Corporation of America. “We’re pleased that this deep experience allows us to respond to the COVID-19 pandemic quickly to address the hygiene issues with effective contactless technology.”

The 2020 DHS Biometric Technology Rally was held at the agency’s Maryland Test Facility (MdTF), as the annual event is each year. Part two of the test was held in January.

NIST testing has suggested significant gains in biometric accuracy with masked faces by algorithms from many companies over the course of the pandemic.

In the DHS Rally, NEC America’s algorithm outperformed its competition in combination with most of the image acquisition systems tested.

The best test of pure algorithm performance is considered to be the ‘focussed’ category, which excludes errors from the front-end capture system, according to the announcement. The company says including these external errors, its algorithm achieved a 95.9 percent TIR, 4 percent better than the second-place algorithm.

The algorithm also exceeded DHS’ criteria of 99 percent or higher matching rate for people without masks. NEC America’s ‘Pearl’ entry topped biometric accuracy in that test, at 99.8 percent TIR without image acquisition errors, and 99.3 percent with errors included.

“This is one of the best opportunities to see how well facial recognition systems work, how components operate together, and how they fare against each other in similar conditions,” says Benji Hutchison, president of federal operations for NEC Corporation of America. “We’re pleased to see that our significant investments in research and development translates to a much better and more reliable customer experience in all sorts of environments.”

Article Topics

 |   |   |   |   |   |   |   |   |   |   |   | 

Latest Biometrics News

 

Canada regulator backs privacy-preserving age assurance

The Office of the Privacy Commissioner of Canada (OPC) has published a policy note and guidance documents pertaining to age…

 

FCC seeks comment on KYC revision for commercial phone calls

The U.S. Federal Communications Commission (FCC) has proposed stronger KYC requirements for voice service providers to prevent scams and illegal…

 

Deepfake detection upgrade for Sumsub highlights continuous self-improvement

Sumsub has launched an upgrade to its deepfake detection product with instant online self-learning updates to address rapidly evolving fraud…

 

Metalenz debuts under-display camera for payment-grade face authentication

Unlocking a smartphone with your face used to require a camera placed in a notch or a punch hole in…

 

UK regulators pan patchwork policy for law enforcement facial recognition

The UK’s two Biometrics Commissioners shared cautionary observations about the use of facial recognition in law enforcement over the weekend…

 

IDV spending to hit $29B by 2030 as DPI projects scale: Juniper Research

Spending on digital identity verification (IDV) technology is projected to reach a 55 percent growth rate between now and 2030,…

Comments

Leave a Reply

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

Biometric Market Analysis and Buyer's Guides

Most Viewed This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events