Police use of artificial intelligence (AI): factsheet (accessible) Published 9 June 2026 What is the government’s overall policy position on police use of AI? - In the government’s AI Opportunities Action Plan, the Prime Minister set out his intention to maximise the potential for AI to make the public sector more efficient and effective and deliver the government’s Plan for Change. - To date, most AI activity pursued by police forces in England and Wales has been undertaken by Chief Officers using their core funding and accountable to their elected Police and Crime Commissioners. - Since the 2024 election this has been supplemented by over £50m of direct grant funding from the Home Office for specific projects, such as to fund new Live Facial Recognition vans. - In the Police Reform White Paper, the government announced a further £115m for police adoption of AI and automation which covers a range of projects such as creating a new National Centre for AI in Policing (“PoliceAI”). The aim of these projects is to rapidly equip policing with high quality AI that can make the biggest difference to public safety outcomes in local communities. - Where police forces use AI, it should be deployed responsibly. That means deployments must be lawful, ethical, transparent and based on a robust assessment of algorithms before use. It should be clear who is accountable for the AI’s performance and the use of its output by police personnel, and there should be clear operating procedures in place that set out what appropriate usage looks like. These principles are critical for building and maintaining public consent for the use of this technology. - To assist the police in using AI responsibly, the government has funded the National Police Chief’s Council to develop guidance, which is published on the College
Jun 9, 2026 · via gov.uk
The World Through AI Artificial intelligence (AI) is becoming an increasingly pervasive part of everyday life. AI technologies are fundamentally transforming the ways in which images are created, edited, distributed, described and perceived. From 11 June to 20 September 2026, Schirn Kunsthalle Frankfurt presents its major summer exhibition The World Through AI, exploring the profound impact of artificial intelligence on visual culture and contemporary artistic practice. The exhibition brings together artworks that examine the cognitive, psychological, political and ecological dimensions of AI. The World Through AI is organised by the Jeu de Paume in Paris in collaboration with Schirn Kunsthalle Frankfurt and is curated by Antonio Somaini and Katharina Dohm. A Walk Through the Exhibition Featuring around 40 works by international artists, the exhibition examines the social and cultural impact of artificial intelligence. Topics include machine vision, facial recognition, resource consumption, memory, future imaginaries and AI-generated propaganda. The exhibition is divided into 17 thematic sections. Historical “time capsules” provide insights into the contexts of data storage, image processing and the history of the former Dondorf printing works, which now serves as the exhibition venue. Between Machine Vision and AI Slop The exhibition begins in Hall 1 with the technological foundations of artificial intelligence, highlighting the material and ecological conditions of digital infrastructures, machine vision and the often invisible human labour behind AI systems. Works such as Mechanical Kurds by Hito Steyerl and xhairymutantx by Holly Herndon and Mat Dryhurst explore different forms of AI production and collective practices. Hall 2 focuses on the social and political implications of AI, particularly questions surrounding colonial image archives, AI-generated propaganda and shifting visual cultures. The installation Holy Slop! A Generative Atlas of Slopaganda in Palestine by Occitane Lacurie and Barnabé Sauvage, alongside works by Nouf Aljowaysir and Nora Al-Badri, investigates how AI can
Jun 9, 2026 · via german-design-council.de
There’s a particular weight to memory when you’ve lived through a time that others now only reference in shorthand. I don’t mean nostalgia. I mean the physical act of remembering who is missing. In the 1980s and early 1990s, as AIDS moved through my community with a speed and indifference that still feels impossible to explain, I had address books that became, over time, records of absence. Names crossed out. Numbers that no longer rang. Whole clusters of friends and colleagues gone. Not abstractly, not statistically — specifically. People with voices, habits, jokes, plans. People who should have had the chance to grow older. They didn’t. At the same time, I was an undergraduate in marine biology, expected to keep pace — labs, exams, problem sets — as if the world were intact. Animal physiology, genetics, statistics, organic chemistry. Show up. Perform. Pass. All while a plague burned through my community with terrifying precision. There was no accommodation for grief. No pause. No recognition that anything unusual was happening. The expectation was continuity — business as usual — no matter what was being lost. And while that was happening, the federal government — under Ronald Reagan — withheld urgency in a way that still feels difficult to describe without anger. Years passed before the crisis was even named at the highest level. The silence was ambient, structural. It told us exactly how much our lives were worth in the hierarchy of concern. So we filled the silence ourselves. We marched. We organized. We protested in the streets and in front of federal buildings and in hospital wards. I remember the lines of police in riot gear, the pressure of bodies pushing forward, the stinging waft of tear gas, the sound of voices refusing to be contained. I remember the fear
Jun 9, 2026 · via therevelator.org
Meta’s smart glasses are once again at the center of a privacy debate due to face recognition. WIRED reports that Meta had quietly embedded unreleased face-recognition code, internally called “NameTag,” into its Meta AI companion app, which powers the company’s smart glasses. The code was not active, but its presence in an app installed on more than 50 million devices raised immediate concerns about how quickly using smart glasses could slide into biometric surveillance. Face recognition in glasses, even if disabled or unreleased, is especially sensitive because it can identify people at a distance, in real time, and without their consent. Many organizations have warned that this technology could be misused by stalkers, abusers, and others who want to identify people in public without drawing attention. Gizmodo reports on a proposed Pennsylvania bill that would require smart glasses and similar wearable recording devices to include a visible indicator light when they are capturing audio or video. The bill would also prohibit users from disabling that indicator, a move clearly aimed at reducing covert recording in public spaces. Most smart glasses already include such an indicator, but reporters noted that some users have been paying others to have them removed or disabled. The proposal is interesting because it tries to solve a hardware-level trust problem with a visible signal. But a visible light only helps if it is both mandatory and difficult to bypass, and history suggests that any visible privacy safeguard becomes a target for tampering when the incentives are high enough. These two stories are really about the same issue: smart glasses are normalizing the use of always-on cameras, microphones, and AI features in a form that is much easier to conceal than a phone. That creates an unwanted privacy problem for people around the wearer. Smart glasses are
Jun 9, 2026 · via malwarebytes.com
Abstract Facial emotion recognition (FER) is one of the main fields of research in image processing and artificial intelligence with applications in human–machine interaction, behavior analysis, and intelligent vision. The RAF DB dataset, a widely used benchmark dataset for emotion recognition, is used for the training and testing of deep learning models. In real application conditions, the facial image may be subjected to visual noise. Large glasses that occlude the eye region of the face are one example of environmental or artificial noise which distorts the visual information. If frames covering a large area of an expressive part of the face, like the eyes, are recognized as noise by the emotion recognition network this may lead to noticeable performance degradation. Artificial occlusion noise, similar to large glasses, was applied to the eye region of the facial images from the RAF DB dataset. The impact of this type of structural noise on the performance of deep-learning-based facial emotion recognition models is analyzed. Three state-of-the-art architectures (ResNet-50, Vision Transformer (ViT-Base/16) and Swin Transformer Tiny (Swin T)) are tested to determine their robustness to the noisy application conditions. The objective of the study is to determine and suggest possible methods to counter the decrease in recognition performance caused by the occlusion noise. Experimental results indicate that, within our evaluation setup, transformer-based architectures, especially Swin-T, tend to be more robust to the simulated visual noise, which may be useful for the design of facial emotion recognition models intended for more complex conditions. Similar content being viewed by others Funding No funding was received for this work. Author information Authors and Affiliations Corresponding author Ethics declarations Competing interests The authors declare no competing interests. Ethical and informed consent This article does not contain any studies with human participants or animals performed by any of the
Jun 9, 2026 · via nature.com
VANCOUVER, British Columbia, June 09, 2026 (GLOBE NEWSWIRE) -- SPARC AI Inc. (the “Company”) (CSE: SPAI) (OTCQB: SPAIF) (Frankfurt: 5OV0) a defence technology company building Overwatch, the GPS denied navigation and target acquisition software platform for drones and autonomous systems, today announced the successful completion of a 43km long-range target acquisition test conducted over open water in Port Phillip Bay, Victoria, Australia. The target recording was done at a drone height of 115m above ground level. The 43km demonstrated span is comparable to, and in some measurements exceeds, the narrowest width of the Strait of Hormuz , one of the world’s most strategically significant maritime chokepoints. The comparison illustrates the scale of contested, GPS-denied maritime environments in which the capability is designed to operate. SPARC AI is also pleased to announce it has integrated image recognition into the SPARC AI drone controller application, adding further capability to its targeting solution. Overwatch brings together targets recorded by multiple drones across different manufacturers and different locations onto a single operating map, where operators can classify and track targets, collaborate, and plan missions in one shared picture. With image recognition now overlaid onto that picture, operators gain richer intelligence and can respond more rapidly across teams. Capabilities of this kind have historically been locked inside expensive, proprietary drone platforms. By delivering them as software across any manufacturer's hardware, the Company believes Overwatch meaningfully expands its addressable market and positions the platform as a premium software layer rather than a single-aircraft feature. Looking ahead, the next phase of Overwatch's development will introduce the ability to deploy multiple drones directly from the platform. The company is developing teaming and swarm capability that it believes will be unique to Overwatch with the ability to deploy and coordinate drones from different manufacturers, operating from different locations, simultaneously
Jun 9, 2026 · via markets.businessinsider.com
Foodstuffs South Island will continue using facial recognition technology in three Christchurch supermarkets and expand it to a fourth store. The news comes after it conducted a trial between October 2025 and January 2026 designed to identify and manage people with a history of serious and harmful in-store behaviour. During the three-month period, there were 531 confirmed matches with people of interest, with no misidentifications or false positives recorded. Kent Mahon, Head of Retail for Foodstuffs South Island, said the results supported the continued use of the technology. “The focus has always been on reducing harm. The trial showed we can do that while keeping accuracy high and respecting customer privacy.” According to Foodstuffs South Island, staff reported that repeat offenders were less likely to return to stores involved in the trial. The company also said incidents involving threatening or harmful behaviour declined during the period, allowing employees to intervene earlier and reduce risks to customers and staff. The three stores involved in the trial, New World St Martins, PAK’nSAVE Papanui and PAK’nSAVE Moorhouse — will continue using the technology. New World Stanmore will also begin using facial recognition. Foodstuffs South Island said there had been interest from other stores dealing with harmful in-store behaviour, but no additional rollouts had been confirmed. The company said each store would undergo privacy, legal and risk assessments before implementing the technology. Customers will also be notified through prominent signage when facial recognition is in use. Foodstuffs South Island said it would continue monitoring the system’s performance and update the list of participating stores on its website. To stay up to date on the latest industry headlines, sign up to the C&I e-newsletter.
Jun 9, 2026 · via c-store.com.au
Just days after a damning WIRED report exposed that Meta had quietly embedded facial recognition technology (FRT) code into millions of phones, the tech giant has quietly acquiesced in demands to reverse course. Last week, researchers identified code in Meta AI, a companion app for its line of smart glasses, that could convert images of faces into unique biometric signatures to identify strangers in public. EFF’s Threat Lab verified these findings through static analysis, and reminded consumers to think twice before buying or using Meta’s surveillance glasses. Just as quietly as Meta embedded this code, the app’s June 5th app update appears to have quietly removed all those features and systems. Gone is the face-recognition technology, the code meant to trigger “Person recognized” alerts, and the machine learning models and databases designed to detect, digitize, and store the biometric signatures of people users engage with. When WIRED broke the news last week, Meta’s executives immediately went on the defensive. Yet, their actions speak louder than their tweets: less than 48 hours after the public caught wind of their plans, Meta quietly launched an update to scrub nearly all traces of the FRT system from their app. But this quiet deletion of code does not equal a permanent change of heart. Meta previously used face recognition, and stopped only after it faced the legal and financial consequences. Now the company has refused to answer WIRED’s inquiries on whether it plans to bring the NameTag system back in the future, or what they did with any data they may have already collected during internal testing. There are billions of reasons not to turn Meta’s customers into a distributed surveillance machine. This whiplash behavior proves exactly why we cannot rely on the "good will" of Big Tech to protect our digital rights. We
Jun 9, 2026 · via eff.org
Meta quietly removes face-recognition code from its smart glasses app The 'disappearing into the bushes like Homer Simpson' strategy is a bold choice. Only a day after a dormant bit of code that seemed to be a facial recognition algorithm was discovered in a companion app for its smart glasses, Meta released an update which removed that code, Wired reported. The publication had first uncovered the suspicious code, internally dubbed Name Tag within Meta, while reviewing code for a Meta AI app which handles some core features of the glasses. In other words, the same app necessary for pairing Meta smart glasses to a user's phone over Bluetooth was also ready to start harvesting every face a user passed by while wearing them. Wired uncovered the dormant tool on June 4. It contained algorithms which would have converted photos of faces into biometric identifiers stored on-device and cross referenced with each new facial scan. On June 5, an update was released which removed it entirely. In February, The New York Times had reported that Meta was working to bring facial recognition to its glasses. Given that the Times heard the internal moniker Name Tag bandied about at that time, the code discovered by Wired was likely the fruit of those efforts. The workings of the tool suggest that it might have been intended as a way for users to more easily identify people they had previously met. A handy feature for forgetful folks, no doubt, but also an extremely creepy and invasive solution to a very common interpersonal dilemma. Most people would probably rather someone simply admit to having forgotten their name than to have their likeness ingested by a face-mounted camera. Meta smart glasses are made in partnership with popular Luxottica brands including Ray-Ban and Oakley. They are already
Jun 9, 2026 · via engadget.com
It seems that Meta is highly concerned about potential backlash to its use of facial ID in more applications. The company has removed its face ID functionality from the back-end code of its AI glasses after recent reporting on its inclusion. Last week, Wired reported that Meta had quietly added facial ID code elements into its Meta AI app. The elements were not active, but had been inserted in the codebase, seemingly with a view to future activation. Which is no surprise. In February, reports circulated that Meta was planning to add facial recognition to its artificial intelligence-powered sunglasses, as a means to enhance connection despite the privacy concerns. The inclusion of this in the Meta AI app aligns with that reporting. However, Meta responded angrily to Wired’s report, with Andy Stone, Meta’s spokesperson, saying in a June 4 post on X that Wired’s report was “shoddy,” “intellectually dishonest” and “pure advocacy-driven click bait.” Meta’s decision to criticize the reporting came before the company removed the code, seemingly as a means to invalidate the report. However, the evidence would suggest that Meta wants to add face ID to its AI device. It just wants to do so without sparking a massive PR backlash, which could potentially derail its evolving AI business. Meta’s hesitance here is logical, given its history with facial recognition elements. In 2021, Meta was forced to shut down its facial recognition processes on Facebook, after user backlash around the automated detection of faces in images, particularly via photo tagging. That sparked a large-scale investigation into the privacy concerns around face ID and the troves of data that Meta had been collecting, through this and other means. This, of course, also built on the Cambridge Analytica controversy, which had already led to various investigations into Meta’s data tracking.
Jun 8, 2026 · via socialmediatoday.com
Even as the Milwaukee Police Department backed away from facial recognition technology earlier this year after strong public criticism, records obtained by NNS show the department’s overall surveillance infrastructure continues to grow. The number of cameras, license plate readers and other surveillance technologies available to the department has increased in recent years, along with the amount of money spent on these systems. As was the case with facial recognition technology, MPD leaders say the tools help solve crimes and can make investigations more efficient Critics, however, warn that an expanding surveillance infrastructure could make future monitoring technologies more powerful and raise concerns about privacy, oversight and civil rights violations – the same concerns raised over facial recognition technology. Vaun Mayes, community activist and violence interrupter for the city’s Department of Community Wellness and Safety, says the cameras are a problem. “People don’t want their rights or privacy threatened or infringed on,” Mayes said. Critics are also questioning whether the department has produced evidence showing the surveillance expansion has led to measurable improvements in crime-solving or public safety. More cameras, more systems As of June 2026, MPD had access to 1,749 cameras, according to department records. Included are 1,200 body-worn cameras, 390 squad-car cameras and 159 fixed cameras. While many of the cameras serve general surveillance purposes, a growing number are part of automatic license plate reader, or ALPR, systems. MPD risk manager James Lewis said the department currently uses three separate ALPR platforms operated by different vendors: Flock Safety, Genetec and Axon. The Genetec system includes 39 fixed ALPR cameras. Officers can also access a cloud-based Flock Safety network consisting of 35 ALPR cameras. Axon ALPR technology is also installed on 80 MPD patrol vehicles, allowing officers to capture and compare license plate data while on patrol. Records show MPD’s
Jun 8, 2026 · via milwaukeenns.org
Meta reportedly tucked facial-recognition code into the app for its camera glasses, then got very upset when journalists treated that like something the public might want to know. While not yet active or available to consumers, Wired reports that Meta has installed facial recognition software that plugs into a client-side database housed in Meta's O&O app, matching people to their faces. Certainly, that could not be abused. The report made clear that NameTag isn't activated yet, nor is it accessible to consumers in its current form. But the prospect of consumer-facing smart glasses equipped with facial recognition tech has long had privacy advocates on edge — and with public adoption of Meta's smart glasses on the rise, privacy concerns have become more pertinent than ever. If a company has gone about building out the infrastructure to roll out a wildly controversial feature of this kind, consumers might want to know about that, even if the feature currently remains inaccessible. And yet, according to the company's executives, it's "dishonest" to inform the public about a piece of unreleased tech that Meta has chosen to incorporate into a consumer product. In its initial response to Wired, Meta referred to the discovery as "sensational" and characterized NameTag as exploratory. "We've said before we're exploring these types of features, and what you're seeing is just evidence of that exploration," the company said in a statement to Wired. "Nothing has shipped to consumers and no final decision has been made on what to do here, if anything. If we do decide to roll something out, we will take a thoughtful approach and do so with full transparency. One decision we can be clear about—we are not building a central face database." Futurism The kraken is unreleased because it is still in development. Previously: • When
Jun 8, 2026 · via boingboing.net
AI brings order to label diversity Vision AI Label Reader automates label capture and ensures process reliability Goods-in operations in the electronics industry are under increasing pressure. Countless components from a wide range of manufacturers arrive with constantly changing label layouts, multilingual markings and ever shorter throughput times. What could once be managed manually has now become a bottleneck. Damaged barcodes or reflective packaging further increase effort and make processes more error-prone The Vision AI Label Reader from collective mind GmbH (COMI) demonstrates how this complexity can be managed. The AI-based image processing system automates the capture and interpretation of item information in goods-in and logistics - regardless of layout, language or code type. Designed for industrial use, the solution improves process reliability, enhances data quality and streamlines workflows. A uEye CP industrial camera from IDS Imaging Development Systems GmbH provides the image data required for analysis. Fully automated capture instead of manual inspection The Vision AI Label Reader is designed for applications where a wide variety of items, labels and packaging are processed on a daily basis. This makes it particularly suitable for electronics manufacturing service providers as well as companies with complex logistics processes and extensive inventories. One concrete example is Rutronik Elektronische Bauelemente GmbH, a globally leading broad-line distributor of electronic components, where the system is already in successful operation. The goal is to automatically capture all relevant item information and make it available in a structured format. To achieve this, the system recognizes all labels on an object, reads printed text as well as 1D and 2D codes, and then interprets the content using artificial intelligence. Handwritten entries can also be processed if required. Crucially, recognition does not rely on predefined label standards. New layouts, languages or code formats can be handled without retraining - a
Jun 8, 2026 · via roboticstomorrow.com
Meta has quietly scrubbed facial recognition code from its smart glasses companion app following a WIRED investigation that exposed the feature's existence. The code, discovered in Meta AI—the app that powers the company's Ray-Ban smart glasses—vanished in the latest update, but Meta refuses to say whether it was experimental, accidental, or planned for future deployment. The move raises fresh questions about what AI capabilities tech giants are building into wearable devices that can record people without obvious consent indicators. Meta just got caught with its hand in the biometric cookie jar—and the company's silence is almost as revealing as the code itself. Investigative reporters at WIRED discovered facial recognition capabilities embedded in Meta AI, the companion app that controls Meta's Ray-Ban smart glasses. The code suggested Meta was either testing or preparing to deploy face-matching technology that could identify people captured through the glasses' cameras. Within days of WIRED's inquiry, that code disappeared from the app entirely. Meta's response? Radio silence on the specifics. The company won't confirm whether the feature was an abandoned experiment, an accidental inclusion, or a planned capability that got exposed too early. That opacity is triggering alarm bells among privacy advocates who've long warned about the dangers of normalizing always-on recording devices. The timing couldn't be more awkward for Meta. The company has spent years rebuilding trust after the Cambridge Analytica scandal and has repeatedly promised transparency around its AI development. CEO Mark Zuckerberg has positioned Meta's smart glasses as a privacy-conscious alternative to more intrusive wearables, emphasizing that a recording light alerts bystanders when the camera is active. But facial recognition changes the equation entirely. While recording someone in public might be legal, automatically identifying and cataloging faces crosses into surveillance territory that makes even tech-friendly regulators nervous. The EU's AI Act specifically classifies
Jun 8, 2026 · via techbuzz.ai
Butler County prosecutors say a multi-agency investigation that used facial recognition technology and distinctive tattoos led to the arrest, prosecution and sentencing of a Hamilton man who stole credit cards from older victims. Trevon Lee Adams, 30, was sentenced June 4 to 30 months in prison after pleading guilty to theft from a person in a protected class, a third-degree felony. In a related case filed by Fairfield police, Adams received an additional 18-month sentence on a fourth-degree felony charge of the same offense. The sentences will run concurrently. Garrett Baker, chief prosecutor of the county’s economic crimes division, said Hamilton and Fairfield police worked on the investigation, which relied in part on facial recognition technology to identify Adams. “The detectives did a fantastic job,” Baker said. “Especially when an individual is coming in wearing a ski mask trying to conceal every aspect of their identity.” Det. Ryan Beckelhymer led the Hamilton investigation, while Det. Brian Wells led the Fairfield case. Baker said Beckelhymer relied in part on facial recognition technology. “It was able to give them a lead,” Baker said. According to court records, the first incident occurred in mid-January 2026 at the Planet Fitness in Fairfield. Adams entered the gym using another person’s membership and went directly to the locker room, where he stole a wallet containing debit, credit and HSA cards from a 65-year-old man. Surveillance footage shows Adams leaving the locker room at 3:18 p.m. Police were called at 4:01 p.m., and shortly after, Adams was captured on camera at a Meijer on South Gilmore Road wearing different clothing and a ski-style mask. He used the stolen cards to make $1,078.02 in purchases, including five $100 Mastercard gift cards and a soda. In a separate incident later that month, Adams stole cards from a 70-year-old man
Jun 8, 2026 · via journal-news.com
Asia-Pacific banks are pairing AI innovation with stronger fraud controls and tokenized finance. AI commanded most of the attention among innovators in the Asia-Pacific region in 2025, but looking ahead, fraud prevention, open banking, cross-border payments, and tokenization could also figure prominently. “The banks winning right now are the ones deploying AI where it actually generates revenue,” Zennon Kapron, founder and director at GL Insight, a global fintech consultancy firm, told Global Finance. “APAC’s leaders have moved into generative AI for wealth management and AI-driven credit scoring for thin-file customers, and the gap between early movers and laggards is widening fast,” he added. Nehal Vora, CEO of India’s CDSL, told Global Finance: “The coming year in Asia-Pacific finance, in our view, is likely to be shaped by a powerful trinity: intelligent data, intelligent protection, and intelligent access.” Vora anticipates further advances in anomaly detection and behavioral analytics that enable financial firms to detect manipulation and scams earlier in the business cycle. “AI-based fraud detection is now the price of admission in APAC,” added Kapron. As scam losses mount across Singapore, Australia, and Hong Kong, regulators are forcing banks to absorb more liability, reshaping the economics of fraud investment far more than any technology shift. It should help that the region enjoys some of the world’s most innovation-friendly regulatory frameworks. “This has been the most consequential year for APAC fintech regulation in a decade,” said Kapron. “Hong Kong, Singapore, Japan, and South Korea are all advancing stablecoin and digital asset frameworks in parallel, and APAC is now setting the global pace while the US and Europe play catch-up.” Most Innovative Bank in Asia-Pacific CTBC When it comes to thwarting scam attacks, industry collaboration can make a difference. That was CTBC Bank’s reasoning when it launched Taiwan’s first AI fraud alliance last
Jun 8, 2026 · via gfmag.com
BuzzFeed GamesOnly People With Elite Pattern Recognition Can Solve This Color Puzzle Called HuedokuHuedoku #39! New week, fresh start — the colors are waiting. 🌈✨Posted 17 hours agocommentFacebookPinterestLinkby Crystal RoBuzzFeedBuzzFeed StaffHi, I’m Crystal, a Senior Editor based in Los Angeles and creator of BuzzFeed’s “That Got Dark” newsletter. Huedoku is a daily color puzzle with simple rules and a satisfying solve. It's like sudoku, but with colors instead of numbers. Sign up here to get notified every time we publish a new Huedoku! Come back tomorrow for Huedoku #40 — and share your score to challenge a friend! 🌈 🌈 New Huedoku drops every weekday at 4:00 a.m. PT / 7:00 a.m. ET. 🧩🗂️ Huedoku Archive — Every past puzzle, all in one place! Comments
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Jun 8, 2026 · via buzzfeed.com
Vadzo Imaging Explains Drone Camera Optics for UAV Embedded Vision Applications: FOV, Distortion, and Vibration Tolerance When a UAV payload delivers distorted aerial maps, missed coverage between flight passes, or defocused frames after the second flight, the failure is rarely traced back to optics selection. It is attributed to processing, post-flight software, or weather. Vadzo Imaging examines how field of view, lens distortion, and vibration tolerance determine aerial image accuracy and deployment outcome across UAV mapping, aerial inspection, precision agriculture, search and rescue, and smart city surveillance applications. FORT WORTH, Texas, June 8, 2026 (Newswire.com) - Vadzo Imaging, a globally trusted provider of embedded vision camera products, today publishes a definitive technical guide on drone camera optics selection for UAV embedded vision applications. For UAV system designers, payload engineers, and embedded vision integrators, the selection of field of view, lens distortion profile, M12 lens mount, and vibration tolerance determines aerial map accuracy, inspection coverage, and image quality before the first flight. Vadzo Imaging builds its UAV camera module portfolio across 20MP monochrome, 8MP 4K HDR, and 13MP 4K color sensor architectures on the M12 S-Mount compact drone camera lens interface and explains precisely where each belongs. Why FOV Selection Determines Coverage and Ground Resolution Before the Mission Launches Field of view is the first drone lens selection decision for any UAV embedded vision payload, and selecting the wrong FOV produces one of two failures before the mission data is usable. A field of view that is too wide for the survey altitude introduces barrel distortion at the image periphery that degrades photogrammetry accuracy and requires software correction before aerial maps can be used for dimensional analysis. A field of view that is too narrow reduces ground coverage per frame, increases the number of flight passes required, and reduces area coverage
Jun 8, 2026 · via newswire.com
Bristol researchers working on animal biometrics and using AI for conservation have been key contributors to the SA-FARI (Segment Anything in Footage of Animals for Recognition and Identification) project. SA-FARI has been developed by an international consortium led by ConservationX Labs (CXL) and META. The project builds on META’s latest Segment Anything Model 3 (SAM3), a foundational and cutting-edge Vision-Language Model that is designed to use text and visual prompts to precisely identify, segment, and follow objects in images or videos. SA-FARI enables researchers to track animals in footage using ‘masklets’ which represent the exact outline of an animal in a video from frame-to-frame through time. It means the animal can be accurately separated from its background and form the basis of individual and behavioural analysis. This method has the potential to save thousands of hours for researchers using camera trap surveys in terms of viewing content manually. The project trained and benchmarked an AI system which can automatically detect, name and track animals of around 100 species pixel-accurately in footage. To do this, a vast dataset of more than 11,000 wildlife videos taken in natural habitats was curated and annotated. SA-FARI offers this data freely downloadable for biologists, researchers, and conservationists to boost ecological projects worldwide with cutting-edge AI powers. A paper about the project was presented last weekend [Saturday 6 June] at the Conference for Computer Vision and Pattern Recognition (CVPR) in Denver, USA, widely regarded as the leading conference for visual AI. The paper was selected an award candidate by CVPR. For the Bristol team working on animal biometrics and AI conservation, this is the second consecutive year to be nominated. Tilo Burghardt, Professor of Computer Vision and Animal Biometrics from the University of Bristol’s School of Computer Science, and a co-author, said: “Global problems require global
Jun 8, 2026 · via bristol.ac.uk
Code uncovered by journalists revealed that Meta quietly embedded facial recognition tech into its AI-enabled smart glasses — and top Meta executives are fuming. Last week, Wired reported that Meta discreetly moved to infuse facial recognition tech into its popular smart glasses, as evidenced by a piece of code discovered in the Meta AI app by the magazine’s journalists. The unreleased feature, internally dubbed “NameTag,” would “transform faces captured by Meta’s glasses into unique biometric signatures, commonly known as faceprints, and check each one against faceprints stored on the user’s phone — a database that’s currently configured to receive updates from Meta,” as Wired put it. The report made clear that NameTag isn’t activated yet, nor is it accessible to consumers in its current form. But the prospect of consumer-facing smart glasses equipped with facial recognition tech has long had privacy advocates on edge — and with public adoption of Meta’s smart glasses on the rise, privacy concerns have become more pertinent than ever. If a company has gone about building out the infrastructure to roll out a wildly controversial feature of this kind, consumers might want to know about that, even if the feature currently remains inaccessible. And yet, according to the company’s executives, it’s “dishonest” to inform the public about a piece of unreleased tech that Meta has chosen to incorporate into a consumer product. In its initial response to Wired, Meta referred to the discovery as “sensational” and characterized NameTag as exploratory. “We’ve said before we’re exploring these types of features, and what you’re seeing is just evidence of that exploration,” the company said in a statement to Wired. “Nothing has shipped to consumers and no final decision has been made on what to do here, if anything. If we do decide to roll something out, we
Jun 8, 2026 · via futurism.com