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Overt Live Facial Recognition technology is being rolled out to prevent and detect crime, find wanted and dangerous criminals, safeguard vulnerable people, such as children, and to protect people from harm, keeping the community safe. The technology involves the deployment of visible facial recognition cameras, mounted on or positioned in the vicinity of a marked police vehicle in designated public spaces. The cameras detect faces in real time and compares them against a strictly controlled alert list consisting only of lawfully held police images. These may include reportable offenders, people with outstanding warrants, those suspected of serious offences, missing people, and individuals subject to lawful restrictions, such as PEP orders, or welfare concerns. The technology will be used to identify convicted child sex offenders who are prohibited from being near children. It gives WA Police the capability for timely and quality responses, with real-time alerts identifying high risk individuals, resulting in the swift apprehension of those offenders who are breaking the law. The technology can also be used to ensure vulnerable members of our community can be assisted and given prompt and adequate care and returned to safety. It would assist in locating a missing person who police and loved ones hold welfare concerns for. Images of community members who are not on the alert list are automatically pixelated in real time and are not saved. There is no record-keeping of this data. Advancements and innovation in technology including through initiatives such as facial recognition, present significant opportunities for law enforcement agencies, with community safety the number one priority. This approach has been successfully implemented in other jurisdictions around the world, resulting in improved community safety. The WA Police Force remains committed to protecting the community and will use all available resources and capabilities at our disposal to do so.
Canada-U.S. Divorce FINAL? Carney Crushes Trump's Golden Dome Push; Picks Australia For Defence Deal Canada is making a major shift in its defense strategy. Instead of fully embracing U.S. President Donald Trump's proposed Golden Dome missile-defense vision, Ottawa has signed a landmark $2.5 billion radar deal with Australia, marking the largest defense export in Australian history.The agreement will see Canada acquire an advanced over-the-horizon radar system modeled on Australia's proven JORN network, giving Ottawa the ability to monitor vast stretches of the Arctic from thousands of kilometers away. With a total budget of $6.5 billion allocated for the project, Canada is signaling its intent to build an independent surveillance and early-warning capability while deepening defense ties with Australia.Is this a sign of growing Canada-U.S. friction, or simply a strategic move to strengthen Arctic security? Here's what this historic defense partnership means for North America, Australia, and the future of Arctic surveillance. 11 views | 50 minutes ago
Western Australia has become the first Australian state to surveil public spaces using live facial recognition technology (FRT), and while WA Police has said the move will “increase the freedoms and the privacy of our community,” the head of Electronic Frontiers Australia (EFA) emphatically disagrees. “What we are talking about is a massive breach of human rights and privacy, and one which could increase in scope and scale in the absence of strong laws to limit the use of biometric technologies in public and private spaces,” EFA chair John Pane said in a 23 June statement. “The use of real-time biometric image matching in public spaces by WA Police really is the cherry sitting on top of the surveillance state cake.” The rollout of FRT will involve marked police vans patrolling crowded areas and large events, scanning the faces of members of the public in real time. Under West Australian law, biometric information is protected via a public-private sector framework, which means such information – such as facial scans – requires strict consent for its collection, as well as mandatory privacy impact assessments. The EFA, however, contends that since the new WA Information Privacy Principles won’t come into effect until July, WA Police has rolled out the new technology in an effort to avoid looming privacy regulations. Given that consideration, the EFA is calling upon WA Police to answer several questions: - Did WA Police consult with the WA Information Commissioner, and what was their advice? - How is express consent being collected from members of the public? - Has a mandatory privacy impact assessment been undertaken and published for public scrutiny? - Have WA Police demonstrated that scanning the public’s faces is both necessary and proportionate? - Has a human rights impact assessment been conducted? “This is an outrageous
Britain’s biggest police force is expanding its use of static live facial recognition cameras to London’s West End and Soho. The Metropolitan Police will roll out the devices, which attach to street furniture and are monitored remotely, to the areas in central London by the end of the year. This follows a six-month pilot in Croydon, south London, between October 2025 and May 2026, which led to 173 arrests, including one woman sought for over two decades. Further deployment across the capital is planned for next year. Commissioner Sir Mark Rowley said: “Facial recognition is one of the most revolutionary technology advances in policing in recent years. “Public confidence in this is clear – around 80 per cent of Londoners support its use. That backing reflects a simple truth: it works. “We have already seen the impact in Croydon, where a six-month pilot delivered over 170 arrests, a reduction in crime and a significant fall in violence against women and girls. “All these results with only one false alert among hundreds of thousands of people. “The technology supports officers to target wanted criminals and registered sex offenders. Crucially it is supporting officers – not replacing them. “Now we’re taking that capability further. We want to build on our success by introducing this capability to the West End and Soho by December. The use of static cameras will help us continue cutting crime in high-footfall areas in central London. “We also have to be clear about the threat we face – criminals are not standing still. They are quick to exploit new technology to commit offences, evade detection and target victims at scale. Policing cannot afford to fall behind and this is another step towards tackling that.” In the Croydon pilot, the Met said more than 470,000 people walked past the
Canada and Australia have signed a $2.5-billion export agreement to deliver an over-the-horizon radar capability aimed at strengthening Canada’s Arctic surveillance. The agreement moves Canada’s Arctic Over-the-Horizon Radar (A-OTHR) program into the delivery phase, advancing Ottawa’s goal of achieving initial operational capability by December 2029. Work is scheduled to begin in July 2026. Over-the-horizon radars use high-frequency radio waves reflected off the ionosphere to detect and track airborne and maritime targets thousands of kilometers away, overcoming the line-of-sight limitations imposed by the Earth’s curvature. Under the deal, BAE Systems Australia will provide technology derived from Australia’s Jindalee Operational Radar Network, which offers wide-area surveillance at ranges of up to 3,000 kilometers (1,864 miles). Once operational, the A-OTHR system will provide Canada with long-range detection and tracking of airborne and maritime threats, enhancing situational awareness and extending warning and decision-making time for the defense of Canadian and North American airspace. “This project is part of a broader effort to build an integrated Arctic surveillance and communications network that will strengthen Canada’s ability to monitor, understand, and respond to activity in the Arctic,” Canadian Secretary of State (Defence Procurement) Stephen Fuhr said. “We are working with trusted partners to modernize our continental defences while ensuring meaningful industrial and technological benefits for Canadians.” Technological Cooperation, Employment Generation BAE Systems Australia will partner with Canadian firms to develop domestic expertise in over-the-horizon radar technology and strengthen Canada’s defense industrial base. Between 2026 and 2033, the A-OTHR program is expected to contribute nearly $290 million annually to the Canadian economy while supporting approximately 2,270 jobs each year. The project will also sustain around 300 high-value technical jobs in Australia, further strengthening interoperability between the two countries. In addition, it establishes a framework for joint research and development aimed at advancing over-the-horizon capabilities for mutual benefit.
BuzzFeed GamesIf You Can Solve This Color Puzzle In Less Than 3 Minutes, You Have Perfect Color VisionHuedoku #50! The big 5-0 — can you keep the streak alive? 🌈🎉Posted 6 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 #51 — 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 Comments
Met to extend live facial recognition to West End - Published Britain's biggest police force is expanding its use of static live facial recognition cameras to London's West End and Soho. The devices were used during a six-month pilot in Croydon, south London, between October 2025 and last month, which saw 173 people arrested including a woman who had been wanted for more than 20 years. The static cameras - attached to street furniture and monitored remotely - are now set to be deployed in central London by the end of the year and will be rolled out to other parts of the capital next year. Commissioner Sir Mark Rowley said the cameras were "one of the most revolutionary technology advances in policing", but critics called the plans "very troubling". Human rights organisation Liberty said the force should pause its use of the technology until a legal framework is put in place to govern its use. - Police start facial recognition trial at stations - Published11 February - Facial recognition pilot cuts crime, says Met - Published19 January During the Croydon pilot, the Met said more than 470,000 people walked past the camera, generating one false alert for which the person was spoken to by officers and then allowed to leave. Since the start of 2024, the force has arrested more than 2,000 people using live facial recognition cameras. Announcing the expansion of their use, the commissioner said: "Public confidence in this is clear â around 80% of Londoners support its use. That backing reflects a simple truth: it works. "We have already seen the impact in Croydon, where a six-month pilot delivered over 170 arrests, a reduction in crime and a significant fall in violence against women and girls. "All these results with only one false alert among hundreds
Inside Utah's facial recognition system: How police use the technology SALT LAKE CITY (KUTV) — Utah law enforcement agencies are increasingly using facial recognition technology to identify criminal suspects, but state law limits its use to specific circumstances and imposes some of the strictest safeguards in the nation. Under Utah law, facial recognition technology may only be used for certain law enforcement purposes, including felony investigations, violent crimes, threats to human life, and efforts to identify deceased, incapacitated or at-risk individuals. The technology recently came under scrutiny in the case of Brad Johnston, who faced a felony charge related to the vandalism of an Uber driver's vehicle after a facial recognition match linked him to the case. Johnston maintained he was not involved. “The only way I can describe it was just terrifying,” Johnston said. MORE: Facial recognition AI misidentifies Utah man in felony vandalism case The match was generated from surveillance video taken from inside the Uber ride, but Johnston insisted investigators had identified the wrong person. After months of court proceedings, the case was ultimately dismissed. According to the most recently available data, Utah law enforcement agencies submitted 1,191 facial recognition requests between July 1, 2024, and June 30, 2025. Of those, 706 resulted in probable matches, a rate of about 59%. State law requires all facial recognition requests to be processed through the Utah Department of Public Safety. Tanner Jensen, chief of investigations for the department, said requests from law enforcement have increased over the past five years. Jensen said the system will analyze biometric data and measurements and two people manually review each image submitted for comparison. The process results in one of two outcomes: a possible match or no result. Once findings are returned to the requesting agency, the department's involvement ends. “If they do
Getty Images gives ChatGPT access to its vast picture archive Licensing deal with OpenAI leads shares in the photographic agency to almost double in pre-market trading Previous Article Next Article
Western Australia police will soon become the first law enforcement agency in Australia to deploy live facial recognition technology in what privacy advocates have labelled an “outrageous overreach”. The WA Police Force plans to trial a marked police van outside major events and in crowded public areas, scanning people as they walk past. The technology will compare live images with a database of individuals with outstanding arrest warrants, registered child sex offenders and missing persons. The live images will be matched with a database of 4,000 people. If a match is detected, the live image will be kept and an alert will be sent to nearby police officers who will confirm the individual’s identity. While a number of police forces around the country already use facial recognition technologies to analyse already obtained footage, it marks the first time police in Australia have used a live version of the technology. ‘Terrifying overreach’ The rollout has also drawn strong criticism from privacy advocates. Digital Rights Watch deputy chair Tom Sulston was highly critical of the technology use. “WA Police’s expansion of facial surveillance is grossly disproportionate and a terrifying overreach of police infrastructure that will result in innocent Australians being surveilled and criminalised,” Sulston told Information Age. “Everyone will have to submit to having their personal biometric information collected just to go out in public to see some sport or do some shopping. “We deserve to be able to go out in public without being subjected to mass dragnet surveillance like this.” Electronic Frontiers Australia chair John Pane labelled the initiative “an outrageous act of police overreach and a fundamental breach of our individual and collective human and digital rights”. “The use of real-time biometric image matching in public spaces by WA Police really is the cherry sitting on top of the
BuzzFeed GamesIf You Can Solve This Color Puzzle In Less Than 3 Minutes, You Have Perfect Color VisionHuedoku #49! Start the week with a colorful brain teaser. 🌈🧩Posted 7 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 #50 — 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 Comments
Video Police expand live facial recognition to the West End The Metropolitan Police aim to catch thieves and violent offenders in one of London’s crime hotspots, having defeated a High Court challenge Previous Article Next Article
The Metropolitan police is to expand its use of live facial recognition (LFR) technology, first into London’s West End by Christmas and then into a further six areas next year. The new cameras will be fixed, and could be attached to street furniture such as lamp-posts. Critics said the new plans mean tens of thousands of people will be forced into a “digital police lineup”. LFR scans the faces of those people passing its camera’s lens, and then compares it with a watchlist of wanted suspects. The Met has been trialling the technology and using vans deployed for a short time in some areas. It also used LFR via a static camera in Croydon, south London as an experiment, which Britain’s biggest force says was a success. Later this year new static cameras will be deployed in London’s West End and Soho, which have some of the highest crime rates in the British capital. The Met says the cameras will move location as officers spot crime trends. In 2027 it plans to place static LFR cameras in six further areas, and hopes local councils will contribute to the cost. The Met insists any decision to arrest following an alert on its LFR system is made by a human being. Live facial recognition is controversial because it predominantly surveils the faces of the innocent when they walk past the system’s cameras. Furthermore the algorithm used to power it can discriminate against black people. Police and government, which back its expanded use, say the civil right issues are minimal, if they exist at all. The Met has turned down the sensitivity of its algorithm and says that nearly eliminates the bias. Ministers and police believe LFR’s crime fighting potential is huge, also freeing up officer time at a time of financial strain.
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CPS Earns National Recognition in Communications and Design Cambridge Public Schools has once again earned national recognition for Communications and Design through the National School Public Relations Association (NSPRA). The Publications and Digital Media Excellence Awards recognize outstanding education publications and marketing/informational materials (print and electronic), video/TV/radio programs, social media, and websites. - Special Purpose Publication: Award of Excellence - Kennedy-Longfellow Memory Book - Branding/ Image Package: Award of Excellence This is the fourth consecutive year CPS has received recognition in NSPRA’s National School Communication Award contest. NSPRA will spotlight award-winning submissions during the NSPRA National Seminar at the Annual Meeting of Celebration of Achievement in New Orleans, Louisiana, this summer. Learn more about NSPRA and view all winning submissions here.
MISSOULA — The City of Missoula is poised to vote on whether or not to purchase new security cameras for parks and aquatics on Monday night, with concerns previously being raised about the cameras and AI facial recognition technology. (WATCH: Missoula looking to purchase security cameras with AI capabilities) The Missoula City Council has the final say on the purchase of various Verkada security cameras from Pine Cove Consulting, a Bozeman-based IT company. The purchase agreement was initially meant to be completed last week, although council members, alongside community members, raised concerns about the AI facial recognition abilities of the cameras. Montana has strict privacy laws restricting local government entities from using such AI facial recognition technology, although law enforcement is largely exempt from these laws.
A proposal before the Monroe County Legislature would require businesses including grocery stores, restaurants, and banks to disclose to customers if they use facial recognition technology. The legislation, if adopted, would also prohibit the sale or exchange of biometric data for any reason and require any business that collects the data to destroy it within two years. It does not, however, ban the use of the technology outright. The legislation is sponsored by Democratic legislators including Rachel Barnhart, Ricky Frazier, John Baynes, Nazish Jeffery, and Linda Hasman. Legislature committees are discussing the measure this week. They will decide whether to forward it to the full Legislature for consideration at its July meeting. “Biometric data is fundamentally different from video surveillance, because what it does is it scans your face, and it creates a mathematical template that is then stored, and they can create a profile of you based upon your face,” Barnhart said. “What they then do with that data, we don't know yet.” Barnhart noted an array of concerns with the collection of biometric data, including the potential for a more complex form of identity theft. That concern is also outlined in the proposal. “(Biometric information) is derived from a person’s physical or biological characteristics and may be difficult or impossible to replace if compromised,” the legislation reads. “Unlike a password or credit card number, biometric data is immutable.” The legislation comes as state and local governments grapple with how to regulate the use of biometric surveillance. Last month, Erie County became the first county in the state to outright ban the collection of biometric information, including faces, fingerprints, irises, or voices. The Syracuse Common Council adopted similar legislation in May. “This law creates a safer community for all by protecting a person's most basic and unique features: their
RealSense unveils AI-native depth camera with face detection roadmap RealSense has shown off the D585 Pro at Automate 2026, a new depth camera aimed at improving AI‑driven perception systems for robots. Robotics is driving edge‑based sensing, with these cameras also offering biometrics uses. The device is described as an “AI‑native” platform built around a custom Gen 5 system‑on‑chip that fuses depth sensing, image processing and on‑camera AI inference in a single unit. RealSense says primary use cases include humanoid robots, robotic navigation, industrial automation systems and robotic arms performing inspections. The D585 Pro’s architecture mirrors the sensing pipelines used in advanced identity systems. High‑resolution depth, dual RGB, IR projection and on‑device AI accelerators feature in many biometric stacks. RealSense is leaning into a software‑defined model as the D585 Pro ships with on‑camera depth processing. Person detection is in beta. Planned SDK releases will add visual‑inertial odometry, occupancy grid generation and face detection to existing hardware. The approach of deploying once and upgrading continuously follows what is being increasingly seen in biometric devices. Companies are often using firmware‑level AI improvements rather than new sensors, selling the update as avoiding friction. While RealSense is targeting robotics, the ability to run person detection and face detection directly on the camera means biometrics uses are possible independent of the robot or via a robotic system. The need for accuracy and versatility and intelligence is leading to convergence. The D585 Pro delivers more than twice the depth quality of previous RealSense models, enabling the perceiving of fine‑grained detail at distances under 15cm — a range where traditional depth sensors struggle. With a 120×100-degree field of view, 60 FPS capture and a 10‑meter operating range, the camera is designed to support everything from humanoid manipulation to warehouse‑scale navigation. RealSense says multiple global robotics developers are already
ROBOTICS AND AUTONOMOUS SYSTEMS INDUSTRY PERSPECTIVE: Vision-Based AI at the Tactical Edge a Force Multiplier By David Guffey iStock illustration In Afghanistan and Iraq, white Toyota Hilux trucks were synonymous with the Taliban and many other terrorist groups that U.S. and coalition forces pursued daily. Ubiquitous and covered in dust, nearly indistinguishable from thousands of identical vehicles on the same roads, complex hyperspectral sensors were used to look for minute spectral differences. Sensors were flown, data gathered and analyzed, and over time, automated algorithms developed to provide a level of autonomy and precision. But the challenge existed not just in finding a truck, but the right truck. U.S. forces needed the one with a dent on the rear panel, a cracked headlight or another small detail buried somewhere in tens of thousands of hours of Predator and Reaper footage. Unique spectral signatures across tens of thousands of vehicles served as additional discriminators. The military mastered collection, but processing at scale was dramatically more complex. As new sensors, unmanned systems and space assets expanded the data flow, much of that data went unreviewed. Regardless of how much data flowed into servers and storage, most of it went unanalyzed. Often, data was collected but took days or even weeks to be analyzed at the forward operating base or in garrison in the United States. Now, the use of vision-based artificial intelligence at the most disadvantaged edge will become a tactical discriminator and a force multiplier. Compute power has evolved to the point where handheld devices can capture, consume and analyze data at the most disadvantaged edge. Much of today’s AI discussion centers on large data centers and models trained on data from everywhere. Those systems are invaluable, providing leaders and decision-makers with strategic answers to broad, complex problems across multiple domains and