Live video feeds of daycare centers are common, but the Army wants to take their kid-monitoring capabilities to the next level. Under a new pilot program being rolled out at a Fort Jackson, S.C. child-care center, the military is looking for service providers to layer commercially available facial recognition and artificial intelligence over existing closed-circuit television video feeds to improve childcare and cut costs.
The role of facial-recognition technology was put under the microscope earlier this week after the US House Committee on the Judiciary heard evidence about how it's used by law enforcement agencies. Dr Cedric Alexander, a former member of President Barack Obama's Task Force on 21st Century Policing, underlined the minefield facing lawmakers by laying out how, on the one hand, FRT can promote justice and "Even save lives" but not if it means sacrificing constitutional rights.
Civil rights campaigners in the US have called on retailers to stop using facial-recognition technology amid worrying privacy concerns and fears that it could lead to people being wrongly arrested. While Fight for the Future claims retail giants such as Walmart and Kroger have said they would not deploy facial recognition in stores, it claims others - including Macy's, Albertsons, and Lowe's - are still using the technology.
Moving forward, workplaces should leverage facial recognition solutions to thwart threats in the new hybrid workplace, bolster access control, and safeguard offices from future health risks. Facial recognition solutions can even pair with video management systems and send real-time alerts to security staff based on attribute-specific access control stipulations, such as time of day or location.
A GAO report finds government agencies are using the technology regularly in criminal investigations and to identify travelers, but need stricter management to protect people's privacy and avoid inaccurate identification. Though the federal government widely uses facial recognition for various uses from criminal investigations to collecting traveler data, this use is largely unmonitored and unmanaged - a scenario that must change to protect people's privacy and avoid inaccurate identification of perpetrators, a government watchdog report has found.
The EU's data protection agencies on Monday called for an outright ban on using artificial intelligence to identify people in public places, pointing to the "Extremely high" risks to privacy. In a non-binding opinion, the two bodies called for a "General ban" on the practice that would include "Recognition of faces, gait, fingerprints, DNA, voice, keystrokes and other biometric or behavioural signals, in any context".
Federal police broke Canada's privacy laws by using a US company's controversial facial recognition software in hundreds of searches, an independent parliamentary watchdog ruled Thursday. In a report to lawmakers, privacy commissioner Daniel Therrien said Clearview AI's collection of images without consent and the Royal Canadian Mounted Police's use of that database were illegal.
Privacy organisations on Thursday complained to regulators in five European countries over the practices of Clearview AI, a company that has built a powerful facial recognition database using images "Scraped" from the web. While Clearview touts its technology's ability to help law enforcement, its critics say facial recognition is open to abuse and could ultimately eliminate anonymity in public spaces - pointing to cases like China's massive public surveillance system.
Law enforcement agencies across the U.S. have used facial recognition technology to solve homicides and bust human traffickers, but concern about its accuracy and the growing pervasiveness of video surveillance is leading some state lawmakers to hit the pause button. The issue caught fire in statehouses after law enforcement applied facial recognition technology to images taken from street cameras during last year's racial justice demonstrations - and in some cases used those to make arrests.
The number of users of software-based facial recognition to secure payments will exceed 1.4 billion globally by 2025, from just 671 million in 2020, a Juniper Research study reveals. This rapid growth of 120% demonstrates how widespread facial recognition has become; fuelled by its low barriers to entry, a front-facing camera and appropriate software.