The US Department of Homeland Security (DHS) is piloting facial recognition technologies that can see through face masks with a "promising" level of accuracy, meaning that travelers could end up breezing through airports without the need to uncover their mouths and noses at border checks. The trials were organized as part of a yearly biometric technology rally, organized by the Science and Technology Directorate, which is the research and development unit within the DHS. Every year since 2018, the rally brings together experts, technology vendors and volunteers to test top-notch biometric systems, and make sure that they are up to the challenges posed by the use of facial recognition technology in a variety of scenarios. This year, in response to the new imperatives brought by the Covid-19 pandemic, the rally has focused on evaluating the ability of AI systems to reliably collect and match images of individuals wearing an array of different face masks, with a view of eventually deploying the technology in international airports around the country. During a ten-day event, 60 facial recognition configurations were tested with the help of almost 600 volunteers from 60 different countries.
Few biometric technologies are sparking the imagination quite like facial recognition. Equally, its arrival has prompted profound concerns and reactions. With artificial intelligence and the blockchain, face recognition certainly represents a significant digital challenge for all companies and organizations - and especially governments. In this dossier, you'll discover the 7 face recognition facts and trends that are set to shape the landscape in 2019. Let's jump right in .
In another week that saw mainstream news dominated by the spread of COVID-19, FindBiometrics readers managed to keep the virus out of the latest top stories roundup. Instead, this week's collection of our most popular articles is dominated by facial recognition news, together with a bit of FinTech and a big announcement from the Department of Homeland Security. Starting with the latter, this week brought a call for submissions for the third-ever Biometric Technology Rally. This time, the DHS's Science and Technology Directorate is focused on finding solutions that can identify small groups of people within crowded environments: In FinTech news, meanwhile, FIS announced this week the launch of a new 3-D Secure payment authentication service. Another facial recognition specialist, Onfido, also got some attention with its news that it has once again been listed in CB Insights' AI 100 ranking.
HOUSTON – An arriving passenger uses a biometric scanner at George H. W. Bush Intercontinental Airport February 1, 2008 in Houston, Texas. Under President Donald Trump, technology companies have started cashing in on a little-noticed government push to ramp up the use of biometric tools -- such as fingerprinting and iris scanners -- to track people who enter and exit the country. Silicon Valley firms that specialize in data collection are taking advantage of a provision tucked into Mr. Trump's executive order on immigration, which included his controversial travel ban, that called for the completion of a "Biometric Entry-Exit Tracking System" for screening travelers entering and leaving the United States. The tracking system was mandated in a 1996 immigration law passed by Congress but never fully implemented by Trump's past three predecessors. In Trump's first months in office, federal courts blocked the sections of his original and revised immigration orders that called for a temporary travel ban on visitors from seven majority Muslim countries.
Biometric spoofing attacks are more easily spotted by artificial intelligence-based computer systems than by people, according to new research published by ID R&D. The new report, 'Human or Machine: AI Proves Best at Spotting Biometric Attacks,' compares the relative effectiveness of humans and computers detecting presentation attacks, in terms of speed and accuracy. Liveness detection was tested against images including spoof attempts with printed photos, videos, digital images, and 2D or 3D masks, according to the announcement. The company's IDLive Face accepted 0 percent of face biometric spoofs across all types of attacks and 175,000 images. People fared far worse, failing to spot spoofs in every category, including 30 percent of photo prints, one of the easiest spoof attacks for fraudsters to carry out.