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COVID Drives Explosive Growth of Face Verification and Liveness Detection for Remote Digital Onboarding

COVID Drives Explosive Growth of Face Verification and Liveness Detection for Remote Digital Onboarding
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New research from Acuity Market Intelligence reveals COVID-driven acceleration of digital transformation has intensified the need for biometric face verification and liveness detection which have quickly become synonymous with remote digital onboarding.
Face Verification & Liveness for Remote Digital Onboarding Transaction Volume & Revenue Growth
While 88% of vendors included in the report currently process less than 50 million transactions annually, and 62% report annual revenues of less than $10M, 50% are experiencing at least 100% annual transaction volume growth and 46% at least 100% annual revenue growth.
DENVER (PRWEB)
February 23, 2021
According to new research from Acuity Market Intelligence, COVID-driven acceleration of digital transformation has intensified the ....

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3D Facial Recognition Market Size, Status and Global Competitive Analysis 2021-2026 – KSU

tanmayFebruary 7, 2021
The Market Research on the ‘
3D Facial Recognition Market 2021-2026‘, now available with Market Insights Reports, Introduces systematic details in terms of market valuation, market size, revenue estimation, and geographical spectrum of the business vertical. The 3D Facial Recognition market report offers an overview of top company profiles with business value and demand status of the industry. The report also helps the user to understand the market in terms of its definition, segmentation, market potential, influential trends, and therefore the challenges that the market is facing. The impact of the COVID-19, and also forecasts its recovery post-COVID-19. The report also presents forecasts for 3D Facial Recognition investments from 2021 till 2026. ....

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US lawmakers aims to curtail face recognition

US lawmakers aims to curtail face recognition
Microsoft and Amazon halted facial recognition sales to police this month following nationwide protests
Reuters
January 19, 2021
Visitors check their phones behind the screen advertising facial recognition software during Global Mobile Internet Conference (GMIC) at the National Convention in Beijing, China April 27, 2018. PHOTO: REUTERS
OAKLAND, CALIFORNIA:
Facial recognition vendor Rank One Computing said on Wednesday it would “add legal means” and research other ways to thwart misuse after its software was involved in the first known wrongful arrest based on the technology in the United States.
Robert Williams, who is Black, spent over a day in Detroit police custody in January after Rank One’s face recognition software connected his driver’s license photo to a surveillance video of someone shoplifting, the American Civil Liberties Union of Michigan (ACLU) said. ....

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New facial-recognition technology can accurately identify travelers wearing masks 96% of the time, according to a test run by the Department of Homeland Security

New facial-recognition technology can accurately identify travelers wearing masks 96% of the time, according to a test run by the Department of Homeland Security
ndailey@businessinsider.com (Natasha Dailey)
© Cai Zixin/Getty Images
A woman wearing a face mask uses a face recognition system to enter a residence amid novel coronavirus outbreak on March 3, 2020 in Hangzhou, Zhejiang Province of China. Photo By Cai Zixin/China News Service via Getty Images. Cai Zixin/Getty Images
The US Department of Homeland Security tested facial-recognition technology that it said can accurately identify masked airline passengers 96% of the time.
Pre-pandemic facial-recognition algorithms had lower rates of identifying people wearing face masks. ....

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Facial-recognition tech can now identify mask-wearers

This is bleeding edge, said Arun Vemury, director of the group s Biometric and Identity Technology Center.
At best, the technology identified 96% of masked passengers, compared to almost 100% of unmasked passengers, according to results from the 2020 Biometric Rally, hosted at a DHS-affiliated testing laboratory. The tests evaluated 60 combinations of various cameras and algorithms used to identify a person.
For people wearing face masks, the median accuracy was 77%, compared to a median 93% for unmasked participants. The worst rate was 4% for masked passengers and 11% for unmasked, the data shows.
In our perfect world it works for 100% of people 100% of the time, Vemury said of the results. He later added that still, the best algorithms right now are definitely better than the best people at looking at faces. ....

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