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Introducing Presentation Attack Detection

Updated: Apr 11

By Clearview AI BLOG

CLEARVIEW AI PARTNERS WITH VICTIM RIGHTS ADVOCATE TO PREVENT FRT ABUSE

Liveness Detection

On the heels of releasing Clearview Consent a few months ago, the team is excited to continue to enhance our developer API with the launch of Presentation Attack Detection technology ("PAD”), also known as “liveness detection.”


The Biometrics Institute Annual Industry Survey (July 2022) reports, 86% agreed that liveness detection in biometrics systems is now more important than ever before." [1]

86% agreed that liveness detection in biometrics systems is now more important than ever before

As identity verification and authentication workflows using facial recognition continue to grow across commercial applications, fraudsters remain tireless in their efforts to attempt to impersonate individuals and defeat the verification and identification process through the use of “presentation attacks” such as spoofing.


In furtherance of our shared goal with government and commercial entities to detect, thwart and prevent fraud, PAD addresses fraudsters showing paper printouts of a person, video replays of a person they want to impersonate, or high-fidelity masks. Unlike other providers, Clearview Consent’s PAD works effectively from a 2D image and without a 3D camera, and also works without active user interaction. Clearview Consent and the PAD features will help detect and interrupt threats for a variety of Know Your Customer (“KYC”) applications, including user authentication and identity proofing.


Clearview Consent is powered by Clearview AI’s #1 U.S. facial recognition solution [2] and is highly accurate across all demographics. By combining PAD capabilities with exceptional accuracy and an already robust feature set, Clearview Consent should be considered a top choice for organizations utilizing facial recognition technology in current or future workflows.



[1] Biometrics Institute Annual Industry Survey, July 2022
[2] NIST FRVT 1:1, October 2021 and NIST FRVT 1:N, November 2021

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