PARIS: Based on their experience of hosting Taylor Swift, the management team at the Paris venue for Celine Dion's grand concert comeback is bracing to deliver devastating news to hundreds of her fans: ‘Sorry, you appear to have been scammed, your tickets are fake.’ The Grammy-winning star's long-awaited return to the concert stage after years away from touring has unleashed massive pent-up demand for tickets. It's a perfect storm for scammers who have wormed their way into fans' online communities and set up fraudulent ticketing websites to manipulate and rob fans of both their money and hopes of being able to say, "I was there.” "Where there is massive demand and widespread excitement, fraudsters see a golden opportunity,” says Group-IB, a Singapore-based cybersecurity firm that works with the international police agency Interpol and others. The first of the 26 shows is Saturday (Sept 12). Here are some tips to avoid the traps: For the few tickets left, use only authorised sites The Plenitude Arena, hosting Dion for 16 dates in September and October and another 10 in May, says the highest risk of scams is when tickets first go on sale – which was April for the upcoming concerts and June for the 2027 series – and in the shows' immediate build-up. "That's when the public will be very exposed to these scammers,” Céline Trioux, the arena's marketing director, said in an Associated Press interview. "People are going to wake up and think, ‘Oh, right, I didn’t get a ticket, everyone is going, I want to go,' or ‘I’ve seen the first show all over social media, it looks amazing, I’m going to find a ticket by any means possible.’ And that’s also when the scammers will be out in force.” The shows sold out immediately, although a few VIP
1d ago · via thestar.com.my
You went in for paper towels. Maybe some cereal. Before you reached the dairy aisle, cameras may already have logged your facial geometry. That’s not paranoia — that’s Walmart’s own privacy policy, written plainly enough that anyone willing to read past page one can find it. Walmart’s Customer Privacy Notice and Visitor Privacy Notice describe a broad range of biometric and surveillance data the company says it may collect across physical stores and digital platforms. Here’s what the documents actually say. What the Policy Lists, Word for Word Straight from Walmart’s own legal language — and it covers more ground than most shoppers expect. According to Walmart’s Customer Privacy Notice, the company may collect: - Biometric data: face geometry, iris and retina imagery, voiceprints, palm prints, and fingerprints - Camera and automated technology data: images and information captured during checkout, theft deterrence, and store layout analysis, from systems used both inside and outside store locations - Automated License Plate Reader (ALPR) data: from vehicles on Walmart property, used for security, fraud prevention, parking enforcement, and safety purposes — a practice explored in detail in coverage of San Jose’s Flock Problem The retention schedule adds unusual specificity: Walmart says biometric data will be permanently destroyed when its purpose is fulfilled, within three years of your last interaction, or as the law requires — whichever comes first. One important qualifier on voice data: Walmart’s notice lists voiceprints as a biometric category it may collect, but also states it does not use voice data for biometric analysis. Any voice or audio collection appears context-dependent — tied to specific customer service interactions or voice-activated app features, not ambient recording during a standard store visit. What “May Collect” Is Actually Doing Here The two most consequential words in this entire document aren’t “face geometry” —
Sep 7, 2026 · via gadgetreview.com
Every time you search, browse, or interact with an app, you generate data. That data is worth billions to AI companies. But the platforms that collect it keep almost all the value. A new generation of decentralized AI data marketplaces wants to flip that arrangement — using crypto to pay contributors directly whenever their data trains a machine learning model. The mechanics go deeper than a simple "own your data" slogan. There are verification layers, staking systems, privacy constraints, and token economics — and together they decide whether a contributor gets paid fairly or not at all. This piece explains how those systems work, from the ground up. TL;DR - Decentralized AI data marketplaces connect people who own raw data with AI developers who need labeled, verified training sets, and use crypto tokens to handle payments trustlessly. - Contributors submit data, which is verified on-chain or via decentralized oracle networks before a payment is released, removing the middleman platform from the revenue split. - Privacy-preserving techniques like federated learning and zero-knowledge proofs let data be monetized without the raw underlying information ever leaving the contributor's device. - Token economics, including staking, slashing, and reputation scoring, align incentives so contributors submit accurate data rather than junk. - Projects like Kled AI on Solana represent the current frontier, but the model spans multiple chains and several competing architectures. Why AI Companies Need So Much Data And Who Pays For It Today Large language models and image-recognition systems are data-hungry in a way that's hard to overstate. A single training run for a frontier model can consume hundreds of billions of text tokens, millions of labeled images, or years' worth of recorded human behavior signals. That data has to come from somewhere. Today, most of it comes from a handful of routes. Web
Sep 7, 2026 · via yellow.com
A factory can buy precision cameras, robotics, and a new production line. What it cannot quickly buy is the trained eye that knows when a tiny scratch, fold, contaminant, or misalignment will become a failed phone, car component, or battery. That is the opportunity A.I.MATICS is chasing with AIM-T1, an AI-powered visual-inspection platform for high-precision electronics. The company says a factory quality engineer can set up a new inspection task from just three to five good product samples, rather than collecting a large defect-image dataset, calling in an AI specialist, or rebuilding a dedicated inspection cell. It’s the robotic version of “this is what good looks like.” If that promise holds up, it could make advanced manufacturing easier to expand and move, in addition to potentially reducing costs to the consumer! New factories would still need skilled people, but their quality teams could carry more of the inspection know-how in software to help manufacturers bring new products online faster, at the highest quality. Manufacturing capacity and manufacturing expertise do not grow at the same speed. A 2024 Deloitte and Manufacturing Institute study projected that U.S. manufacturers could need as many as 3.8 million additional workers by 2033, with up to 1.9 million jobs potentially left unfilled. High-precision inspection is only one part of that workforce challenge, but it is one that can directly affect yields, product launches, and warranty costs. After all, every single product needs to go through inspection. I met A.I.MATICS AI Lab Specialist Jaewon Lee in person in Seoul, and asked where this sort of inspection fits on a production line. He said it can run before or after functional testing, depending on the factory’s workflow. In the company’s current Vietnam use case, it is inspecting flexible PCBs and camera-related components for defects including scratches, contaminants, folding
Sep 6, 2026 · via ubergizmo.com
Dongguan City, Guangdong, China - September 6, 2026 - Hampo officially launches the Ego‑Camera, a head‑mounted binocular dual‑lens camera purpose‑built for embodied AI and robot‑learning data acquisition.Capturing authentic human first‑person perspective, this unit integrates an on‑board IMU with hardware‑level synchronization to deliver high‑precision timestamped visual‑inertial fused data. It enables robotics R&D teams to easily gather real‑world manipulation data and generate reproducible multimodal datasets for embodied AI model training Industry Background The performance ceiling of embodied AI robots heavily relies on the quality and scale of training datasets. Industry consensus confirms egocentric first‑person data delivers the most practical training material, matching the actual viewpoint robots use in deployment.Researchers wear the lightweight head‑mounted camera and perform natural grasping, assembly and manipulation tasks within ordinary real‑world environments. AI models learn manipulation skills, action sequences and spatial relationships directly from human‑perspective recordings. Complex robot operation workflows and costly custom data‑collection setups can be largely avoided.High‑quality robot training requires far more than clear images. Reliable vision‑inertial time alignment, frame‑accurate timestamps and ready‑to‑use calibration datasets determine whether raw recordings can be directly applied for VIO‑SLAM, teleoperation and imitation learning. The Hampo Ego‑Camera is engineered specifically to solve these critical industry pain points. Key Specifications | Parameter | Specification | |---|---| | Sensor | Dual 2MP Color Global Shutter CMOS (1/2.6″) | | Output Resolution | 3840×1080P @30fps Binocular Panoramic | | Dynamic Range | 61.56dB Linear / 91.56dB HDR | | Field of View | Dual 125° Ultra‑Wide, Low‑Distortion | | Lens | M12×P0.5 Fixed Focus | | Binocular Function | Dual‑camera sync, ranging & calibration; supports depth detection and 3D reconstruction | | IMU | On‑board IMU, hardware synchronized with image frames | | Timestamp | Frame‑level timestamp for replayable, reproducible data | | Calibration | Factory pre‑calibrated, calibration data included upon delivery | |
Sep 6, 2026 · via markets.financialcontent.com
Live facial recognition cameras lead to 82 arrests - Published Facial recognition cameras have been used to arrest more than 80 people in West Yorkshire since November 2025, police have said. Live facial recognition (LFR) technology works by comparing faces captured on a live camera feed against an authorised watchlist. West Yorkshire Police, which deployed the cameras in Wakefield city centre last week, said since their introduction the LFR vans had led to the arrest of 82 suspects. Ch Supt Stuart Bainbridge, district commander of Wakefield Police, said the cameras were "an incredibly useful tool" for "keeping communities safe". The technology has been criticised by some privacy campaigners, but recent a challenge against the Metropolitan Police's use of it was dismissed at the High Court in April. Bainbridge said 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 captured of ordinary members of the public are deleted almost instantly, he added. The cameras have also helped officers find missing and vulnerable people during their 10 months of operation, according to the force. Arrests made in recent weeks have included suspects wanted for serious domestic offences, as well as retail crime, according to police. Deputy leader of Wakefield Council John Thomas said he had previously had "concerns" about the use of live facial recognition, but, with "appropriate safeguards" in place, said it was "a valuable tool to keep communities safe whilst not impinging on our civil liberties". Ch Insp Dan Tillett, LFR specialist at the force, said the technology acted as "an extra pair of high tech eyes" to assist officers in spotting people evading the law. "More deployments will soon be taking place to maximise our use of this
Sep 6, 2026 · via bbc.co.uk
Meta sued over using “perv glasses” recordings to feed its AI Meta disputes the allegations, saying it will fight them in court. - An amended lawsuit says Meta Glasses recorded bystanders without notice and used footage to train AI systems. - The complaint says contractors overseas reviewed footage that included highly private moments and sensitive information. - Meta denies the allegations and says it filters data to remove identifying information and protect privacy. - The case is ongoing, alongside a separate Illinois lawsuit over images used for facial recognition and generative AI. Key Takeaways by nexos.ai, reviewed by Cybernews staff. Meta is facing expanded allegations that its AI-powered Meta Glasses captured footage of bystanders without their consent and that the footage was later used to train its AI systems. The original lawsuit, filed in federal court in California in March, alleged that Meta transferred footage captured by its AI glasses to third-party human contractors for review and analysis despite Meta marketing the glasses as privacy-friendly. “This is particularly concerning given that these Glasses accompany users throughout their daily routines – in their homes, bathrooms, bedrooms, and other private spaces, capturing deeply private moments: changing clothes, using the toilet, engaging in sexual activity, caring for children, and more,” the lawsuit said. The lawsuit added that such a transfer was unexpected to reasonable consumers, and that transferring personal footage to third-party contractors overseas could create numerous risks, including harassment, blackmail, or public dissemination. Additionally, it alleged that when users activate AI features, imagery and audio can be transmitted to Meta's servers for analysis and ultimately used to train its AI models. On August 31st, an amended complaint extended the allegations beyond those who have purchased the glasses to include ordinary bystanders who were recorded without their knowledge. "Even if a bystander notices
Sep 6, 2026 · via cybernews.com
Hello and welcome to The Blackpool Lead. Facial recognition technology is a thoroughly divisive matter and views will range from it being a necessary step to keep us safe to it being a dangerous infringements of our civil rights. It’s 2026, so there is no room for nuance or middle ground in most debates. But we have done our best to capture that nuance in our reporting today. Blackpool briefing 🪨 A decision on 17 rock headlands on Blackpool’s beach has been deferred by Blackpool Council’s planning committee. Blackpool Council has vowed to spend more time working with the RNLI on the safety measures attached to the scheme. The RNLI had delivered a 27-page objection against the proposal saying it would create a level of risk that could not be adequately protected against. A spokesperson for the RNLI said: “The RNLI has objected to the scheme and welcomes the decision to defer the application for further consideration following representations made to the Planning Committee by the Chair of Blackpool RNLI. “Our detailed objection sets out concerns about the effect the project, in its current form, could have on the RNLI’s ability to save lives and on the safety of those using the coastline. “Many of the incidents attended by Blackpool RNLI occur close to the seawall, often during hours of darkness and in challenging sea conditions. The proposed introduction of multiple rock groynes could significantly affect our volunteers’ ability to launch quickly and access, assess and assist casualties. There are also concerns that the groynes could restrict access to areas of the foreshore currently used for safe lifeboat operations. “While the RNLI supports efforts to protect and preserve the coastline, it is vital that any proposal does not adversely affect our lifesaving service or our ability to operate effectively. Our
Sep 6, 2026 · via blackpool.thelead.uk
Hello and welcome to The Blackpool Lead. Facial recognition technology is a thoroughly divisive matter and views will range from it being a necessary step to keep us safe to it being a dangerous infringements of our civil rights. It’s 2026, so there is no room for nuance or middle ground in most debates. But we have done our best to capture that nuance in our reporting today. Blackpool briefing 🪨 A decision on 17 rock headlands on Blackpool’s beach has been deferred by Blackpool Council’s planning committee. Blackpool Council has vowed to spend more time working with the RNLI on the safety measures attached to the scheme. The RNLI had delivered a 27-page objection against the proposal saying it would create a level of risk that could not be adequately protected against. A spokesperson for the RNLI said: “The RNLI has objected to the scheme and welcomes the decision to defer the application for further consideration following representations made to the Planning Committee by the Chair of Blackpool RNLI. “Our detailed objection sets out concerns about the effect the project, in its current form, could have on the RNLI’s ability to save lives and on the safety of those using the coastline. “Many of the incidents attended by Blackpool RNLI occur close to the seawall, often during hours of darkness and in challenging sea conditions. The proposed introduction of multiple rock groynes could significantly affect our volunteers’ ability to launch quickly and access, assess and assist casualties. There are also concerns that the groynes could restrict access to areas of the foreshore currently used for safe lifeboat operations. “While the RNLI supports efforts to protect and preserve the coastline, it is vital that any proposal does not adversely affect our lifesaving service or our ability to operate effectively. Our
Sep 6, 2026 · via blackpool.thelead.uk
Facial recognition cameras detect 82 wanted people across West Yorkshire Live facial recognition cameras have helped West Yorkshire Police detect 82 people wanted on suspicion of offences, including those linked to serious domestic violence and retail crime. The technology has been in use across West Yorkshire since November 2025, with cameras deployed in Wakefield this week as part of the force’s continued rollout of live facial recognition (LFR). In the 10 months since its introduction, LFR has also helped officers locate missing and vulnerable people and identify 95 individuals subject to Sexual Harm Prevention Orders. The cameras work by comparing live images with a police watchlist of people wanted by the courts, wanted for arrest or considered a risk to the public. Any potential matches are reviewed by trained officers before any action is taken. Chief Superintendent Stuart Bainbridge, District Commander of Wakefield Police, said the latest deployment had helped officers “in keeping communities safe”. He 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.” The use of LFR has raised concerns among some Wakefield residents over privacy and the potential for mass surveillance. Coun John Thomas, Deputy Leader of Wakefield Council, said he had shared those concerns but had been reassured by discussions with police. He said: “Like many residents I’ve had concerns about the use of Live Facial
Sep 6, 2026 · via wakefieldexpress.co.uk
Photo: Sixth Medical Center of Chinese PLA General Hospital In a world first, a Chinese medical team performed an AI-powered, ultrasound robot-guided transcatheter closure procedure for congenital heart disease on a 48-year-old man on Saturday, according to a novelty search conducted by an authoritative institution. The surgery was carried out by the Senior Department of Cardiology at the Sixth Medical Center of Chinese PLA General Hospital, marking a breakthrough in the use of intelligent imaging robots in minimally invasive interventions for structural heart disease, according to an official post on the hospitalâs WeChat account. The AI-powered ultrasound robotic system used in the surgery goes beyond conventional interventional robots, which are largely limited to device delivery, by enabling two-way intelligent coordination between image recognition and surgical manipulation. During the procedure, the robot autonomously carried out image acquisition, lesion localization and real-time navigation throughout the operation, helping the medical team select and accurately deploy the occlude. The system reduced the risks of human error, significantly improved the precision and safety of complex congenital heart disease interventions, streamlined the surgical workflow and shortened the procedure time, providing new technical support for highly complex minimally invasive interventions. The surgeryâs success pioneers a new model of cardiovascular intervention that combines artificial intelligence with medical robotics. The technology substantially reduces reliance on physiciansâ experience in ultrasound-guided procedures for complex structural heart disease, while improving the safety and scalability of minimally invasive surgery. The hospitalâs post highlighted the technologyâs vast potential. Beyond navigation for routine cardiovascular interventions, it could be deployed for rapid diagnosis of battlefield and trauma injuries, remote robotic surgery and medical support for primary-level healthcare institutions. Global Times
Sep 6, 2026 · via globaltimes.cn
Brisbane restricts use of smart glasses without consent in public pools Brisbane City Council in Australia has banned the use of smart glasses without people's consent in public pools. The new rule also applies to all devices with cameras. Lifeguards may require visitors to leave the pool area if they violate this condition of entry. As ABC News Australia reports, Brisbane Council became the first local council in the country to introduce such a restriction in public pools. Queensland state legislation already prohibits recording people without their consent in circumstances where a reasonable adult could reasonably expect privacy. This includes filming in pool changing rooms. The need for broader regulation Elizabeth Englezos, a lecturer at the Griffith University School of Law, described the council's approach as a way of using conditions of access to public space. At the same time, she said that regulation at the state or federal level is needed to counter abuses, as it is not always possible to determine whether a person is wearing glasses with a recording function. More current news is available on the UA.News Telegram channel Telegram. Australia's Office of the eSafety Commissioner recommended that manufacturers introduce automatic face blurring and clearer visual recording indicators. The agency said that harm from covert recording is already real and may become more complex through the combination of smart glasses with facial recognition, image recognition and generative artificial intelligence technologies. Plans of other councils and a parliamentary initiative Gold Coast Council plans to introduce a policy similar to Brisbane's model regarding Meta glasses. On the Sunshine Coast, pool operators independently set and enforce conditions of entry, including restrictions on filming without permission. The Greens, with the support of independent MPs, intend to introduce a bill when parliament resumes sittings to suspend imports of wearable recording devices
Sep 5, 2026 · via ua.news
When will human hydrographic activities be substituted by artificial intelligence? Admittedly, the title of this article, formulated as a question, is deliberately provocative. The first reaction of those who read it and are interested in hydrography for professional reasons will probably be ‘never’, or ‘not during my career’. Some may simply say: ‘wrong question’. If you read primarily non-technically orientated media, you get the impression that this technology can provide answers to almost all questions – especially those that humanity has never asked before. This seems unlikely to me, and it is therefore worth first of all systematically discussing the possibilities and limitations of the applicability of this new technological wizardry in order to then assess its usability in hydrography. I think that both the question and the possible answers first need to be clarified as to which areas of hydrographic activities will be affected by the use of artificial intelligence. One of the smartest conversations I have read on this topic so far was conducted by Lars Schiller, editor in chief of the German Hydrographic Society’s trade journal, with Alexander Reiterer from Fraunhofer IPM. You can either download the entire interview and have it translated by AI-driven software or follow my highly summarized interpretation here. One of Alexander Reiterer’s key statements for understanding the possibilities of AI is the following: AI is trained for a clear task, by humans. This is a very complex process in which algorithms are used that enable self-learning. For certain tasks, the machine is clearly superior to humans after this learning process. For example, in very lengthy and complex pattern-recognition tasks involving vast amounts of data and parameters, the capacity of an AI can be huge with the computing power available today. We cannot expand and upgrade the human brain at will. And: AI
Sep 5, 2026 · via hydro-international.com
Related to this story
Most Popular
A caller told police the man and woman were making customers nervous.
When people are jailed, Hall County Corrections sends booking information and booking photos to ICE.
The girl told police that the suspect touched her under her underwear.
A Kearney teen is in critical condition after a sedan collided with the electric scooter she was on. After surgery, she was transferred to an …
Police say Steven Martinez inflicted a slight knife wound to another man.
Sep 5, 2026 · via theindependent.com
Smart Glasses Misuse: Meta Blocks Camera Function for Thousands of Users Growing pressure is showing results: Meta is increasingly cracking down on the misuse of its smart glasses and distancing itself from facial recognition. Meta is intensifying its crackdown on users who misuse its smart glasses. The company announced this week that it will disable the camera function if the glasses detect physical manipulation of the recording LED. This is a central component of Meta’s privacy framework and is intended to signal to bystanders that recording is taking place. The camera lock will remain in place until the LED is functional again. For users who have irreversibly impaired or destroyed the LED, this means the permanent loss of the camera function. Meta estimates that less than 0.1 percent of all glasses sold have been manipulated in this way. With likely several million devices sold, several thousand pairs of glasses could be affected. Videos by heise In the preceding months, US media reported that dubious services had emerged online that permanently disable the LED for a fee. According to its own statements, Meta has removed thousands of advertisements for such services from its platforms and threatened legal action against such providers. Some of these services have since gone offline. A “cat-and-mouse game” over the recording LED The detection of physical manipulation was introduced with a software update announced in July. A separate protective function against simply covering the LED already existed: If the glasses detect that the LED is covered, users cannot start a recording or take photos. Recently, Meta’s Head of Wearables Alex Himel announced on Threads that another loophole would be closed: In the future, the camera will also switch off if the LED is covered *during* an ongoing recording. The measure shows how persistent the problem is and
Sep 5, 2026 · via heise.de
7 Best Brand Protection Platforms in 2026 (Ranked & Reviewed) Let’s be honest: the scale of the fake goods problem is almost too big to wrap your head around. A joint OECD–EUIPO report released in 2025 found that global trade in counterfeits hit an estimated $467 billion in 2021, which is a 2.3 % of all world trade. For EU imports, counterfeits made up 4.7 % of goods, worth $117 billion. And the routes have changed. China still accounts for 45 % of all seizures, but around 65 % now involve small parcels that slip through customs far more easily than container-loads ever did. If your team is still fighting brand abuse with spreadsheets and manual reports, you’re not just outnumbered but practically invisible. The market for tools to fight back is growing fast, too. Straits Research sized the brand protection software market at $2.92 billion in 2025 and expects it to reach $6.62 billion by 2034. Phishing detection alone is forecast to grow at a 17.3 % CAGR through 2034, while e‑commerce protection commanded a 29.7 % share of the market in 2025 and is set to expand at 17.5 % annually. So where do you start? This article ranks seven of the best brand protection platforms across AI detection accuracy, takedown speed, marketplace coverage, and multi‑language support, so you can cut through the noise. For a deeper look at the AI engines powering these tools, Gracker.ai’s AI-Powered Brand Monitoring guide is a great primer. Methodology — How We Evaluated the Best Brand Protection Platforms We zeroed in on five criteria that matter most to enterprise and mid‑size brand and IP teams handling cross‑border abuse: - AI/ML detection accuracy — advanced image recognition, NLP, OCR, and semantic analysis that go beyond keyword matching. - Takedown speed — median removal
Sep 5, 2026 · via quasa.io
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]
Sep 5, 2026 · via oecd.ai
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.
Sep 5, 2026 · via indiatoday.in
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
Sep 5, 2026 · via examinerlive.co.uk
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
Sep 5, 2026 · via theguardian.com