No-frills tech news

Delhi Police <b>Facial Recognition</b> System Misidentifies Jailed Individuals at Protest

The information displayed in the AIM should not be reported as representing the official views of the OECD or of its member countries. Delhi Police's facial recognition system flagged at least 25 individuals as present at the Jantar Mantar protests, despite police, prison, and court records confirming they were in jail at the time. This AI system malfunction raises concerns about wrongful identification, legal fairness, and potential violations of fundamental rights.[AI generated] Why's our monitor labelling this an incident or hazard? The event involves an AI system (facial recognition software) used by law enforcement to identify individuals at a protest. The system's errors, such as identifying jailed individuals as present at the protest, demonstrate malfunction or misuse leading to potential harm, including violations of rights and legal protections. The AI system's role is pivotal in causing these harms, as the misidentifications stem directly from its outputs. Although the police state that field verification is required before action, the initial false identifications themselves represent an AI Incident due to the direct or indirect harm caused by the AI system's malfunction or erroneous outputs affecting individuals' rights and legal standing.[AI generated]

How <b>facial recognition</b> sees you, matches you, and sometimes gets it wrong

How facial recognition sees you, matches you, and sometimes gets it wrong A face in a crowd. A camera. An algorithm. And, potentially, a police alert. Facial recognition technology used by Delhi Police is back under scrutiny after Opposition leaders questioned its deployment during recent Cockroach Janta Party (CJP)-led protests at Jantar Mantar, amid media reports highlighting possible fault lines in FRT and raising questions over police claims. Delhi Police maintains that its Facial Recognition System does not establish identity on its own: a possible match generates an alert, after which “investigators are expected to independently verify the person.” That distinction is central to understanding the technology. A machine does not “recognise” a face the way a human does. It converts facial features into a numerical representation and calculates how closely it matches another image. The controversy therefore raises two questions: how reliable is the technology, and how much should police be trusted with a system capable of identifying people in public spaces? India Today’s Open Source Intelligence (OSINT) team examined research papers, technical studies and other open-source material to understand how facial recognition works, where it can go wrong and the still-unsettled legal framework governing its use in India. So how does the machine see you? The starting point is deceptively simple. The Journal of Law and Technology at Texas explains that an image stored in a computer is essentially an "array of numbers". The software first has to locate a face within that numerical grid before it can attempt to recognise it. Older geometric systems did this by measuring facial landmarks, including the relative positions of the eyes and nose and the size and shape of particular features. Photometric techniques approached the problem differently. Rather than relying only on facial landmarks, they analysed patterns across the entire image.

82 suspects caught out by Live <b>Facial Recognition</b> cameras in West Yorkshire

82 suspects caught out by Live Facial Recognition cameras in West Yorkshire Faces that match a biometric watchlist will create an alert More than 80 suspected criminals have been caught on facial recognition cameras in West Yorkshire. Live Facial Recognition (LFR) cameras have caught out 82 people since they were first deployed in the region in November 2025. LFR compares live camera images against a watchlist of wanted individuals and suspects. Any alerts generated by the system are reviewed by trained officers before action is taken. Faces that match a biometrics watchlist will create an alert, while data relating to all other faces scanned by the system will be deleted in a matter of seconds. Arrests made in recent weeks have included people wanted for serious domestic offences as well as retail crime. The cameras have also helped officers find missing and vulnerable people during their 10 months of operation and resulted in officers checking 95 people subject to Sexual Harm Prevention Orders. Two LFR vans have recently been deployed in Wakefield. Chief Superintendent Stuart Bainbridge, District Commander of Wakefield Police, said: “Live Facial Recognition is an incredibly useful tool and this latest deployment in Wakefield has assisted our officers in keeping communities safe. The cameras are there to pick out persons already logged on police systems as wanted by the courts, wanted for arrest or as posing a risk to the public. "Images of ordinary members of the public who walk by them are deleted almost instantly. The technology itself is tried and tested, and the number of wanted criminals it has now helped catch really demonstrates its effectiveness.” Cllr John Thomas, Deputy Leader of Wakefield Council, said: “Like many residents I’ve had concerns about the use of Live Facial Recognition in Wakefield. People should never be subject to

Food delivery riders call on platforms to open up AI 'black box' they say has cut pay

Gig economy workers are urging delivery platforms to open up the “black box” of computer-driven algorithms that determine the jobs they are offered and how much they are paid, blaming increased use of AI for lowering wages. A group of food delivery riders in Edinburgh say their rates of pay have fallen and their working conditions have deteriorated at the same time as Deliveroo, Uber Eats and Just Eat, the three dominant gig economy platforms in the UK and Ireland, have increased their use of automation. “I am making half the money I was making four years ago, for the same amount of hours. It makes no sense,” said David, a food delivery rider in Edinburgh for the past seven years who did not want to share his surname. On a weekday afternoon in the Scottish capital, David and other food delivery riders are sharing their experiences of worsening pay and conditions before they go their separate ways to carry food and groceries to customers’ doorsteps during the dinnertime rush. Standing next to their bikes and insulated food delivery bags in central Edinburgh’s Bristo Square, many have cycled the city streets for several years and tracked a gradual decline in the amount they are paid, even though they continue to deliver similar numbers of orders. The group has come together through the Workers’ Observatory, a charity founded by gig economy workers alongside academics at St Andrews and Edinburgh universities. Its aim is to help riders research the parts of their working experience that are mostly concealed by the companies that operate delivery platforms, to help them to challenge their working conditions. David’s experience is echoed by Xabier Villares, who has been riding for eight years and is now the observatory’s lead organiser. “There has been a dramatic change in the

CJP Protest; Delhi Police AI Camera | <b>Facial Recognition</b> System Rule &amp; Accuracy Explained

- English News - Originals - CJP Protest; Delhi Police AI Camera | Facial Recognition System Rule & Accuracy Explained Explained25 jailed murder, rape accused flagged at Jantar Mantar protest:How did facial recognition get it wrong? - Copy link Recently, the Supreme Court quashed all FIRs related to the exam-leak protests. But it allowed the government to proceed against 2,873 people flagged by Delhi Police at Jantar Mantar. Police said these people had criminal records and were identified by facial-recognition software between 20 and 26 July. Police also said no action would be taken based on facial recognition alone. Each case would first go through “field verification”. But then came a strange detail. An investigation found that at least 25 people were in jail when the system identified them at the protest. They included people facing charges of murder, attempted murder, rape and child abuse. If they were behind bars, how did the system see them at Jantar Mantar? So, let’s understand in detail:.. What happened at the CJP protest? - The Cockroach Janta Party held a protest at Jantar Mantar on 6 June 2026 over examination-related issues. It demanded fairness and the resignation of then Education Minister Dharmendra Pradhan. - A march towards Parliament was called on 20 July. The facial-recognition scans linked to the 2,873 figure were made between 20 and 26 July. - Delhi Police told the Supreme Court that its Facial Recognition System identified 2,873 people with criminal antecedents. - 2,402 were identified through Crime Kundli and 471 through other criminal records. - On 1 September, the Supreme Court quashed the FIRs related to the protests. It allowed action against the 2,873 people. Why did Delhi Police use facial recognition on the crowd? - Delhi Police used Automated Facial Recognition Systems (AFRS) to identify people with

Norway Considers Ban On Meta Glasses' New <b>Facial Recognition</b> Features

Norway Considers Ban On Meta Glasses' New Facial Recognition Features Meta has found itself in the crossfire quite a bit for numerous reasons, including its Meta Glasses. Not only has the company had litigation brought forward following concerns that employees are being exposed to nudity and other explicit content, but there have also been concerns over how Meta Glasses record people in day-to-day life without them ever being aware. To combat this, Meta added an indicator light that's supposed to show when the wearers are recording. Unfortunately, modders have found ways to get around that indicator. With all of those issues, as well as the potential for facial recognition tech in its next smart glasses release, some countries have gone so far as to start talking about banning the glasses altogether. According to several reports, Norway is already considering a ban on Meta smart glasses, with the country's digital minister saying that the government is looking for ways to regulate the usage of camera-enabled wearables (via AndroidPolice). Considering the ongoing concerns about user privacy and how smart glasses can intrude on it, this potential ban feels like something that has been a long time coming. Restrictions or a full ban Exactly what Norway will decide here is unclear at the moment. However, from the reports making the rounds right now, Norway could either go with certain restrictions to limit recording in public places, or even fully ban the smart glasses from being used altogether. That's because the major concerns here aren't just recording. There are also concerns about how easily hackable these internet-connected devices might be, as well as concerns about how much AI is likely to be baked into these devices in the future. There is no doubt that the potential for abuse when wearing smart glasses is high.

Flock says its cameras make US safer - so why are they being sabotaged?

Flock says its cameras make US safer - so why are they being sabotaged? Houston's historic Old Braeswood neighbourhood is affluent and tree-lined. These are not the kind of streets where you would expect to see co-ordinated vandalism. Yet here, four surveillance cameras were attacked and cut down in the middle of the night. The metal poles were severed, leaving the distinctive black oval cameras and accompanying solar panels lying on the ground. On some of the cameras was a red sign reading: "Notice. 24/7 video recording." These cameras are run by a company called Flock Safety and this sabotage, which happened in late July, is a signal of growing concern over the nationwide spread of sophisticated AI-powered surveillance systems. Similar vandalism incidents have occurred in Minnesota, California and Georgia. Proponents say they have made communities safer and have helped dramatically increase the rate at which crimes are solved. But recent examples of misuse have caused concern. Critics say the cameras, which take pictures of the rear of every car that drives past, are overly broad investigative tools that treat civilians like suspects. They see the little black poles popping up in their neighbourhoods as visible reminders of state power, at a time when public confidence in institutions is historically low and many are concerned about the accelerating pace of technological change and the influence of AI on people's lives. A new age of surveillance Founded in 2017, Flock Safety has become one of the country's biggest makers of Automatic Licence Plate Readers (ALPRs). These AI-powered cameras take a picture of the rear of every car that drives past. Footage is retained for a specified amount of time. But little is known about the extent to which Flock is being used - the company does not publish exact data, but

KY lawmakers may try and strengthen legislation on flock cameras

Kentucky lawmakers gather to consider strengthening legislation on Flock cameras FRANKFORT, Ky. (WCHS) — Kentucky lawmakers may take another look at legislation that provides guidelines for using automated license plate readers. House Bill 58 went into effect a few months ago, which regulates how law enforcement uses automated license plate readers, or ALPRs. Somewhere in traffic may be someone police are trying to locate, whether it is a missing person or a suspect in a crime. "A 16-year-old girl was tragically killed in Jefferson County last week," Elizabethtown Police Chief Jeremy Thompson said. "Due in large part to Flock technology, two teenage suspects were taken into custody this week using Flock technology." The issue of surveillance and privacy took center stage at the Interim Joint Committee on Judiciary meeting in Frankfort, with lawmakers questioning whether more needs to be done to improve privacy protections. "I am hearing that the very citizens that we serve do not want to be monitored and surveilled in this way, and I think it is my responsibility to bring that to the table," Rep. Savannah Maddox, R-Dry Ridge, said. "I don't know why a warrant wouldn't be required, frankly," Rep. Jason Nemes, R-House Majority Whip, said. "I know the police do not like that, but I don't know why we would not require a warrant." Kevin Kane with Flock Safety told the committee that ALPRs have become a vital investigative tool for law enforcement, but must be used with strong policies and guardrails. "It is important to note that all customers, even states that do not have laws governing ALPR use, own and control 100% of the data that is collected by the system, and we do not sell data to third parties," Kane said. "Plus, Flock ALPRs do not use facial recognition." "We need

Ping YOUniverse: The next stage of human authentication | resource

AUSTIN, TEXAS — A chief theme at this year's Ping YOUniverse conference Tuesday and Wednesday of last week (Sept. 1 and 2) was the notion of "verified trust," which Ping Identity views as the next stage of the authentication of humans. "Every step in the ID journey must evolve," said Ping Identity CEO and founder Andre Durand during his keynote Tuesday, adding that "trust must be earned through continuous validation." Durand said verified trust can be considered as the fusion of fraud detection, access management, and ID verification. Several Ping YOUniverse speakers later called it "the continuous verification of the human user at every stage of the journey." More than a login All agreed that verified trust goes much further than just logging into a service or device. To Ping, that's implicit trust, and it's just the beginning. The next stage is adaptive trust, which many organizations are already familiar with. Its features include multi-factor authentication (MFA) and context-based threat detection. For example, when you log into your company email account while traveling and you're asked to type in an additional code, that's adaptive trust making sure you're not an impostor trying to break in from an unfamiliar location. The final stage is what Ping defines as explicit trust, narrowing down the authentication factors to one specific individual. This can involve biometric identification, device-bound information, and other unique identifiers. Furthermore, explained Ping's Business Lead of PingOne Recognize Ali Nazem and Senior Sales Engineer Dalton Slattery in a Wednesday breakout session, regular access logins are only one of three "doors" by which an adversary can break into an organization. The other two are the hiring process, as we've seen with multiple incidents of North Korean spies using false identities to work for Western companies, and the account-recovery and technical-assistance route, exploited

Integrating <b>Facial Recognition</b> with a Smart Home

Integrating Facial Recognition with a Smart Home What you’ll learn: - How to split the load for facial recognition. - Some of Microchip’s processors that can handle smart-home chores. In the video above, Microchip’s Brad Poole, Edge AI Business Development Manager, and Bill Li, Applications Manager for Microprocessors, highlight the SAM9x75 and SAMA7D65 application processors in a simulated smart-home environment. In this case, the SAM9x75 handles the image capture and optimization with its image sensor controller (ISC). The image is then passed via Ethernet to the SAMA7D65 that runs the facial recognition stack (Fig. 1). The SAM9x75 is based on an Arm ARM926 core. It incorporates 64K SRAM and a DDR2/3L interface. However, for this application, it’s the MIPI 4-lane CSI-2 camera interface and the built-in image sensor controller (ISC) that are important. The ISC supports ITU-R BT 601/656/1120 video interface up to 5 Mpixels as well as raw Bayer 12, YCbCr, monochrome and JPEG compressed sensors up to 12 bits. This provides a smart camera via Ethernet that improves the image quality before passing it on. The SAMA7D65 is an Arm Cortex-A7 application processor running Linux. It gets the video stream via its 100/1000 Ethernet MAC with time-sensitive networking (TSN) support. The chip is supported by the Microchip Graphics Suite and MPLAB Machine Learning Development Suite. The chip is where the facial recognition software runs. The application was running on the SAMA7D65 Curiosity Kit (Fig. 2). The board has a microSD slot plus 8 Gb of DDR3L, 64 Mb of QSPI NOR flash, 4 Gb of SLC NAND flash and a 2-kb serial EEPROM. The SAMA7D65 Curiosity Kit provides two Ethernet ports (Fig. 3). One via a conventional RJ-45 jack and the other via the SODIMM socket. There are three on-board CAN-FD transceivers, too. Also in the mix are

Franklin Elementary PTA Earns National <b>Recognition</b>

Links for Kids Golf Classic Sept. 16, 2026 - September 4th, 2026 Join the Provo City School District Foundation for the Links for Kids Golf Classic on Wednesday,... Franklin Elementary’s PTA has earned national recognition for its work to make family involvement more representative of the community it serves. The Franklin Elementary PTA has received the National PTA Jan Harp Domene Diversity and Inclusion Award, becoming the first PTA in Utah to receive the honor. The national award recognizes local PTAs for efforts to remove barriers and build more inclusive and equitable school communities. National PTA recognized Franklin for changes made over the past three years, including significant growth in PTA participation and increased representation among Latino parents, fathers, and school employees. “This achievement belongs to our entire community,” Franklin Elementary Principal Brookanne Dalby said. “It demonstrates that when we intentionally open doors and create linguistically and culturally accessible spaces, our Hispanic families and the entire school community respond with an unwavering commitment to our children’s education.” Franklin’s PTA membership grew from 37 members to 94 active members. That growth included increased participation from Latino parents as well as 12 fathers and 19 faculty members. The PTA’s leadership structure also expanded, creating a larger and more representative council with additional leadership and committee positions focused on equity. The Jan Harp Domene Diversity and Inclusion Award is presented to a select group of local PTAs across the country each year. Franklin was recognized for practices centered on inclusion, family participation and open communication. The award is named for former National PTA President Jan Harp Domene, whose work focused on bringing families from different backgrounds into public schools. Franklin Elementary PTA will also receive a $1,000 prize to support continued diversity and belonging efforts at the school. The recognition is exemplary of

Engineering PhD candidate receives best paper award at Authenticity and Provenance in ...

Engineering PhD candidate receives best paper award at Authenticity and Provenance in the Age of Generative AI Workshop Alexander Nemecek, a PhD candidate in the Department of Computer and Data Sciences at Case Western Reserve University, received the best paper award at the Authenticity and Provenance in the Age of Generative AI (APAI) Workshop at the IEEE / CVF Computer Vision and Pattern Recognition (CVPR) Conference 2026. Held earlier this year in Denver, Colorado, this conference is one of the world's premier events for computer vision and artificial intelligence research. CVPR also is among the most selective and highly cited venues in computer science. Nemecek’s paper titled, “Authenticated contradictions from desynchronized provenance and watermarking,” was co-authored by: - Erman Ayday, PhD, associate professor of computer and data sciences at Case School of Engineering; - Guang Cheng, professor of statistics and data science, computer science and biostatistics at the University of California, Los Angeles; and - Hengzhi He, a PhD student in statistics and data science at the University of California, Los Angeles. As part of the award, Nemecek received a $1,000 prize sponsored by Pangram, a startup specializing in AI-generated content detection. About the paper “Authenticated contradictions from desynchronized provenance and watermarking” identifies a vulnerability the authors call the “integrity clash.” The vulnerability occurs when an AI-generated image carries a cryptographically valid content credential claiming human authorship while its pixels simultaneously contain an invisible watermark identifying it as AI-generated—allowing both verification checks to pass independently. The team demonstrated that these "authenticated fakes" can be created using standard editing tools, then proposed an audit protocol that detects the contradictions with 100% accuracy. As provenance labeling and AI watermarking see wider adoption across platforms like Adobe, Google and Meta, the work highlights a gap that content authenticity systems will need to close.

trinamiX accuses Apple of infringing Face ID skin-detection patents | Biometric Update

trinamiX accuses Apple of infringing Face ID skin-detection patents Germany-based BASF subsidiary trinamiX has sued Apple in U.S. federal court, alleging that Face ID technology in newer iPhones and iPads infringes seven patents covering techniques for distinguishing human skin from masks and other materials during facial authentication. The lawsuit, filed September 3 in the U.S. District Court for the Western District of Texas, alleges that Apple incorporated patented material and skin detection technology into Face ID without authorization. The case was filed by trinamiX GmbH and trinamiX Sensing LLC. The dispute is narrower than simply that trinamiX invented Face ID or facial anti-spoofing technology generally. Apple introduced Face ID with the iPhone X in 2017, and trinamiX acknowledges in its complaint that the original system did not use the technology covered by the patents it is asserting. Instead, trinamiX says Apple later modified Face ID to incorporate technology that can determine properties of the material presented to the camera, including whether a detected face consists of human skin. According to the complaint, the allegedly infringing technology is now used in a variety of iPhone 15, iPhone 16 and iPhone 17 models, iPad Pro devices and other Apple products. trinamiX alleges Apple “knew or should have known” that updating its devices to use Face ID with material and skin detection would infringe its patents. The technology is intended to address presentation attacks against facial authentication systems. A photograph can potentially be rejected by determining that the presented face lacks three-dimensional depth. More sophisticated attacks can use three-dimensional masks or replicas that reproduce the geometry of a real face. trinamiX’s technology goes a step further by analyzing how projected light is reflected from an object. Those reflections can provide information not only about an object’s distance and shape, but also about properties

Can fashion beat <b>facial recognition</b>? Designers are creating clothes to confuse AI

It is becoming increasingly difficult to disappear. Just ask Israeli mother and daughter Mali and Liel Yahalomi, who became the focus of a frantic search before they were found in Argentina and finally left alone. Security cameras watch streets, railway stations, airports, shopping centers and stadiums. All you have to do is look up and scan your surroundings. In many places, you will spot municipal signs warning that cameras are operating in the area, supposedly to protect us and keep us safe. But do they? In 2026, AI-powered systems are capable not only of recording people but of identifying them, tracking them and potentially linking appearances across different public spaces. In Britain, for example, police have expanded their use of Live Facial Recognition systems, including plans to install permanent cameras on Oxford Street, alongside deployment of the technology at London Underground stations. In Israel, meanwhile, the Knesset in May 2026 extended the temporary order governing the country’s biometric database. As the technology spreads, so does anxiety about its use. Studies have found that in some systems, Black and Asian people face a higher risk of being misidentified than white people. In Britain, public concern is already significant: a recent poll cited by The Guardian found that about 60% of respondents viewed facial recognition technology as “another step toward turning Britain into a surveillance society.” Now, a new generation of British designers is positioning privacy as fashion’s next big trend, using clothing to weaken facial recognition systems through “adversarial clothing”, incorporating sophisticated combinations of shapes, colors and repeating motifs designed to exploit weaknesses in computer vision systems and disrupt its ability to identify faces. Experts caution, however, that their effectiveness varies depending on the surveillance system and the conditions in which they are used. Nick Tidball, co-founder of tech-focused fashion brand

Marex Stock Breaks Out Bullishly Past Rare Buy Point | Investor's Business Daily

Recent initial public offering Marex (MRX) is the IPO Stock Of The Week as it breaks out past a rare buy point amid resurgent market strength. The financial services stock also sits on Investor's Business Daily's IPO Leaders screen. Marex operates a financial services platform that serves as a liquidity hub, broker and infrastructure provider for institutional clients. Bullishly, the… IPO Stock Of The Week: Marex Breaks Out Past Rare Buy Point As RS Line Triggers Bullish Signal Copyright ©2026 Investor's Business Daily, LLC. All rights reserved. 87990cbe856818d5eddac44c7b1cdeb8

Dahua Technology Showcases Integrated Smart Living and Innovations at IFA Berlin 2026

Dahua Technology Showcases Integrated Smart Living and Innovations at IFA Berlin 2026 BERLIN, Sept. 4, 2026 /PRNewswire/ -- Dahua Technology, a world-leading video-centric AIoT solution and service provider, is showcasing its expanding portfolio of intelligent products and solutions at IFA Berlin 2026, highlighting the company's continued innovation in its core technology strengths while extending AIoT capabilities into a broader range of business areas. At this year's exhibition, Dahua is presenting innovations spanning wireless surveillance, intrusion alarm, video intercom, monitor, and fire safety. The lineup demonstrates how Dahua is building on its expertise in video, AI, and intelligent security to address a wider range of residential, commercial, and professional needs. WITHS: Extending Professional Security through Wireless Innovation Developed around the concept of "Simple, Smart, Secure", WITHS brings Dahua's professional imaging and intelligent security expertise into a flexible wireless portfolio designed for easier deployment and management. Supporting Wi-Fi, 4G, and DMSS app control, WITHS helps reduce cabling requirements and enables smaller installations to be conveniently managed through mobile devices, while NVR-based management supports larger applications. Its intelligent capabilities include human, pet, and vehicle detection, auto tracking, gesture recognition, facial recognition, AOV/AOR recording, WizColor imaging, and two-way talk. It covers indoor, outdoor, wire-free, and off-grid scenarios, including solar-powered and high-capacity battery options. Dahua AirShield: Integrated Wireless Intrusion Protection Dahua AirShield provides wireless intrusion protection by integrating alarm devices with surveillance, video intercom, and other security systems. Its Airfly private RF protocol supports event transmission between alarm hubs and wireless peripherals, while RF-HD enables rapid image and audio transmission from compatible devices. The solution supports wired devices through expansion modules, helping users modernize existing systems while reducing upgrade costs. Powered by DoLynk Cloud, AirShield connects end-users, installers, and Alarm Receiving Centers through DMSS and DoLynk Care. AP Mode provides flexible network configuration, while Cloud

Smart glasses helped a man see the world. The privacy panic took it away

Every Sunday, David Zucker rents a basketball court at a gym in New York City to play a pickup game with a few of his friends. In late 2024, he became one of the first people he knew to own a pair of Meta smart glasses. He loved them because the tech-loaded eyewear let him film his pickup games to share with friends on social media. But he liked them for another reason: they helped him navigate a world built for people with better vision than his. Download the Straight Arrow app today to get the stories that matter free from manipulation, bias or agenda.™ Point phone camera here Zucker was born with oculocutaneous albinism type 2, one of the most common forms of albinism, which qualifies him as legally blind. “I don’t drive. I have a disabled state ID. So, kind of in that weird middle space of I’m not blind, but I’m not fully sighted,” Zucker told Straight Arrow. He would often edit the video he captured with his glasses to show “What it’s like for me to exist normally versus here’s what it’s like to exist with this product,” he said. No one batted an eye when they saw him wearing his smart glasses. Most people even thought they were really cool — that was until recently. By April, the narrative about smart glasses among news outlets and social media began to change. What people once saw as a cool new gadget quickly became a potentially dangerous one that could film people without their knowledge. Even The Guardian used the phrase “pervert glasses in a headline. Zucker is one of a growing number of blind or people with low vision who use smart glasses as a functional tool. From reading menus and identifying products to navigating hands-free,

When Your Home Becomes a Companion

Every day, homeowners face a slew of small decisions even in the most cleverly designed house. What should we cook for dinner tonight? Is the food in the fridge past its use-by date? Which wash cycle should I use for this delicate fabric? How come my bedroom has suddenly turned hot? Such questions are so familiar we hardly notice how much time they take up. On their own, these questions aren’t difficult to answer. Together, they add up. It is exactly this pile of small decisions Hisense set out to take off our hands. But rather than adding features to individual machines, the multinational group has built a smart home companion around four key pillars: ‘Can Sense’, ‘Can Think’, ‘Can Communicate’ and ‘Can Execute’. In effect, this means that the home itself can gauge its surroundings, anticipate the things its occupants need, let them know and, under the radar, coordinate what happens next. Imagine a home that could recognise ingredients, detect air quality, adjust temperature and humidity, assess laundry loads and how cloudy the water is – or could even notice the presence of people and their postures. Such ‘sensing’ is the raw material for a more responsive home. Then there’s the capacity to think. Rather than merely responding to commands, an intelligent home can remember preferences, anticipate individual needs, and plan ahead. Communication makes that intelligence accessible, whether through voice, touch, screens or image recognition. Last but not least is execution: the ability to act on its knowledge, completing tasks and coordinating activity without requiring constant meddling from outside. These qualities sum up Hisense’s AI Companion Suite, unveiled at IFA 2026. Clever appliances are no longer enough on their own – true home intelligence comes from turning separate devices into a fully-synched environment. The kitchen offers a perfect vignette.

Kentucky lawmakers question Flock Safety over license plate reader cameras

FRANKFORT, Ky. — Kentucky lawmakers heard testimony Thursday from Flock Safety, which makes automated license plate reader cameras. Kevin Kane, Flock Safety’s director of governmental affairs, was questioned about police misuse, data ownership and privacy of the company’s ALPR camera network. “People are concerned that we could already be well down the road toward the kind of surveillance state that George Orwell warned about in his dystopian novel 1984,” said State Rep. Jennifer Decker, R-Waddy. “It’s important to note that when a customer signs up for Flock, they are sharing data with no one. Everything is a choice of law enforcement, not Flock, as to whom, if anyone, they share data with,” replied Kane. Kane highlighted several safeguards the company implements, including a now-mandatory tool that Shively Police credit for flagging alleged improper searches made by one of its officers. “This is precisely why we have our very clear audit logs,” Kane said. “This is precisely why we’ve never sold data from day one. And this is precisely why we’ve invested so significantly to make auditing of data even easier.” Northern Kentucky Republican TJ Roberts, R-Burlington, raised concern about facial recognition and the company representative’s answer about it. “You can look to their patents; they have facial recognition technology,” Roberts said. “It openly contemplates integrating it with their license plate readers. It is already capable of doing that. It is already doing it.” “Our technology, our ALPRs, we do not utilize this technology,” Kane said. “We do not like facial recognition technology.” This year, Kentucky lawmakers enacted statewide policies for ALPR cameras, including a 90-day cap on image retention and periodic internal audits. House Majority Whip Jason Nemes, R-Louisville, said he supports warrants being mandatory for most Flock searches and external reviews of how officers are using the system. “So

2.8B still excluded from digital ID as new gender gaps emerge: World Bank

2.8B still excluded from digital ID as new gender gaps emerge: World Bank An estimated 2.8 billion people worldwide remain shut out from government-recognized digital ID systems, creating what the World Bank describes as a new divide in the digital economy. While traditional physical identification gaps have steadily narrowed, the World Bank’s ID4D Global Dataset 2025: Trends in Identification for Development reveals that the advancement toward digital services is birthing new inequities. Notably, while the global gender gap for standard legal IDs has closed among adults for the first time on record, a persistent gender disparity is re-emerging in digital identity ownership and usage. In several middle-income countries women are now significantly less likely than men to own or use digital IDs. In countries such as Jordan, Türkiye and Ukraine researchers found notable gender gaps in digital identity adoption. It’s a pattern the authors posit could be a result of lower rates of female smartphone ownership and digital literacy, but they say more data is needed to unpack the disparity. Even where digital identity infrastructure exists, the report uncovers a pronounced gap between official rollout and actual daily use. In Vietnam, for instance, more than 70 percent of adults hold a digital ID yet fewer than 20 percent have ever used it, according to the report. In Türkiye, despite an 80 percent ownership rate, usage drops to roughly 50 percent. Authors Saniya Ansar, Julia Michal Clark and Jorin Margaux Wolff warn that because digital ID systems rely on paper or physical foundational IDs to onboard users, deploying digital credentials without fixing underlying paper-based gaps risks deepening social divides. Rather than expanding inclusion, digital ID systems risk serving only the population that is already documented, further pushing marginalized groups to the sidelines. Progress on paper, concentration in Africa Efforts to provide