Clearview AI Facial Recognition Platform Achieves Superior Accuracy And Reliability Across All Demographics In NIST Testing

Clearview AI’s algorithm ranks No. 1 in the U.S. in all categories as verified by National Institute of Standards & Technology (NIST) Facial Recognition Vendor Test (FRVT)

Clearview AI, the leading facial recognition company that provides powerful and reliable photo identification technology to law enforcement agencies across the country, has achieved near perfect ratings from the U.S. government’s top independent agency for evaluating advanced technology providers. The October 28, 2021 results released by the National Institute of Standards and Technology (NIST), verify the accuracy and reliability of Clearview AI’s revolutionary platform, powered by the world’s largest known database of more than 10 billion publicly available facial images.

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Hoan Ton-That, co-founder and CEO of Clearview AI, said: “Our superior performance across all demographics, as verified by the country’s foremost authority on technology performance standards, is an unmistakable validation of Clearview AI’s industry leading facial recognition platform. We are extremely gratified by this result, which bolsters our commitment to continue delivering a world class product to our customers.”

Clearview AI’s first one-to-one (1:1) algorithm submission to NIST’s latest Face Recognition Vendor Test (“FRVT”) ranked No. 1 in the U.S. for its performance in matching VISA Photos (99.81 percent), MUGSHOT Photos (99.76 percent), VISABORDER photos (99.7 percent) and BORDER Photos (99.42 percent), and ranked in top five worldwide in all of these categories out of 650 algorithms.

In the most difficult category of facial recognition tests – “WILD Photos” – Clearview AI’s algorithm ranked No. 1 in the U.S. and No. 2 worldwide.

In another key test that evaluates demographic accuracy, Clearview AI’s algorithm consistently achieved greater than 99 percent accuracy across all demographics.

Clearview AI is planning an additional submission to NIST to verify its algorithm for one-to-many (1:N) in the near future.

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