Washington, D.C. – Senators Edward J. Markey (D-Mass.), member of the Commerce, Science, and Transportation Committee, and Jeff Merkley (D-Ore.) today led their colleagues in writing to Department of Homeland Security (DHS) Secretary Markwayne Mullin demanding the agency abandon its dangerous proposal, included in DHS’s proposed budget for Fiscal Year 2027, to develop “smart glasses” for its immigration officers. These smart glasses would allow DHS officers to quickly identify individuals in public by covertly taking their photo and running it through biometric identification systems — such as facial recognition software — threatening the privacy and civil liberties of every person in the United States. Smart glasses are the latest example of the Trump administration’s growing surveillance state, which is intended to silence dissent and intimidate Trump’s political opponents. Senators Cory Booker (D-N.J.), Adam Schiff (D-Calif.), Alex Padilla (D-Calif.), Brian Schatz (D-Hawaii), Ron Wyden (D-Ore.) Chris Murphy (D-Conn.), Chris Van Hollen (D-Md.) and Richard Blumenthal (D-Conn.) also signed the letter. In their letter, the Senators wrote, “Given DHS’s record during the Trump administration of exploiting surveillance technologies, we are deeply concerned that smart glasses will be abused by this administration. Over the past year, DHS has deployed biometric identification tools — including facial recognition technologies — to identify individuals engaged in protest activity, intimidate them, and deter lawful dissent. The Trump administration seems to relish these practices, which endanger the core democratic right to challenge the government without fear of punishment. Smart glasses would provide yet another opportunity for DHS to extend its surveillance capabilities and intimidate individuals across the country.” Senator Markey has been leading efforts to hold ICE and DHS accountable for their gross violations of Americans’ First Amendment rights and their weaponization of surveillance technologies against peaceful protestors, immigrants, and American citizens. - On February 5, 2026, Senator
May 14, 2026 · via merkley.senate.gov
An AI Model Just Diagnosed Dog Bone Fractures With 99.76% Accuracy. Here's What That Means for Veterinary Practice. A research team publishing in Scientific Reports has developed a deep learning model that classifies long bone fractures in dogs with an accuracy of 99.76 percent. For context, that is not a marginal improvement over existing tools. That is near-perfect automated diagnostic performance on a task that currently requires a trained clinician, takes time, and is subject to the kind of variability that comes with any human interpretation of radiographic images. The implications for veterinary orthopedics are worth understanding clearly, because this is the kind of research that moves from academic journal to clinical conversation faster than most practitioners expect. What the model actually does The research team, led by Ashraf Sobhy Saber and colleagues from the University of Sadat City and Cairo University in Egypt, built their model around ResNet50, a convolutional neural network architecture with 50 layers that was specifically designed to handle deep image recognition tasks. The model was trained to classify two types of long bone fractures in dogs — oblique fractures and overriding fractures — using conventional radiographic images. What makes this work notable is not just the accuracy number. It is the methodology used to get there, particularly given the constraints the researchers were working with. Veterinary radiographic datasets are small compared to their human medicine counterparts. The team started with just 44 images. Through a combination of data augmentation techniques including rotation, zooming, and fill-mode transformations, they expanded that dataset to more than 8,000 images with balanced class representation. They also integrated a tool called the Segment Anything Model, known as SAM, which allowed the system to automatically isolate the fracture region within each image rather than processing the entire radiograph as noise-inclusive input. That
May 14, 2026 · via myvetcandy.com
King's Speech signals diffuse UK digital policy agenda, but no AI bill The U.K. King's Speech this week set out a broad digital policy agenda, including bills covering alignment with the EU, cybersecurity, health data, national security, police reform, digital IDs, facial recognition and other regulations, but it also notably omitted a standalone AI bill. Contributors: Joe Jones Research and Insights Director IAPP It's popcorn time for U.K. politics, pomp and digital policy. The pageantry associated with the State Opening of Parliament 13 May 2026 offered the briefest of respite to Keir Starmer, who, at the time of publication, is the U.K.'s prime minister facing undoubtedly his sternest political test yet. As is customary, His Majesty The King's Speech to both Houses of Parliament set forth the U.K. Government's forthcoming legislative agenda, foreshadowing a voluminous and dynamic period ahead for U.K. digital policy. Whereas data, digital and tech policy might have been traditionally contained within legislative initiatives clearly labeled as such, the latest King's Speech, and the accompanying Briefing Notes, looks to a more diffused regulatory ecosystem, with data and digital governance issues distributed across many legislative initiatives. AI legislation Conspicuously absent from this year's King's Speech is any mention of an artificial intelligence bill. Having so far eschewed taking inspiration from the EU AI Act in adopting a comparable U.K. AI Act, the Labour Government has nevertheless repeatedly committed to new AI legislation of some form. In its 2024 election manifesto, Labour pledged it would "ensure the safe development and use of AI models by introducing binding regulation on the handful of companies developing the most powerful AI models and by banning the creation of sexually explicit deepfakes." In 2024, in its first King's Speech, the Labour Government set out a somewhat more tentative commitment to "seek to establish
May 14, 2026 · via iapp.org
Facial Recognition Software Attached To Video Surveillance System Commissioned In Bengaluru Railway Station The VSS project, as many as 168 IP-based high-definition CCTV cameras have been installed in accordance with Research Design and Standards Organisation (RDSO) specifications to ensure reliable and high-quality surveillance coverage throughout the station. BENGALURU: The state-of-art Video Surveillance System (VSS) at Krantiveera Sangolli Rayanna Bengaluru City Railway Station commissioned on Wednesday with Facial Recognition Software to mark a major milestone in strengthening railway security infrastructure and passenger safety through advanced surveillance technologies. The VSS is integrated with Facial Recognition Software for strengthening security surveillance and identification capabilities. As part of the project implementation, a database containing 1086 criminal records has been updated in the FRS platform to support security personnel in monitoring and identification of suspicious persons at the railway station. With the VSS implementation, railway station security officials will have continuous monitoring of passenger movement and station activities round the clock by having comprehensive surveillance coverage across whole of railway station from entrance to exits, circulating areas, booking offices, reservation halls, concourses, platforms, subways, foot over bridges, waiting halls and others. The VSS project, as many as 168 IP-based high-definition CCTV cameras have been installed in accordance with Research Design and Standards Organisation (RDSO) specifications to ensure reliable and high-quality surveillance coverage throughout the station. A modern 20 ftx9 ft video wall has been commissioned at the monitoring center for real-time surveillance by Railway Protection Force (RPF) personnel. The centralized monitoring arrangement enables efficient supervision of station activities and rapid incident response.
May 14, 2026 · via deccanchronicle.com
U.S. Soldiers and Royal Moroccan Armed Forces service members are highlighted by senior leaders during an African Lion 26 recognition ceremony at Southern Zone Headquarters, Agadir Morocco, May 7, 2026. The visit brought together senior U.S. and Moroccan military leaders, diplomatic representatives, and coalition partners to reaffirm shared commitments, recognize collective achievements, and assess the operational readiness driving AL26's multinational mission. AL26 is U.S. Africa Command's largest annual joint exercise, designed to strengthen collective security capabilities of the U.S., African nations and global allies. Led by U.S. Army Southern European Task Force, Africa (SETAF-AF) from April 20 to May 8, 2026, and hosted in Ghana, Morocco, Senegal and Tunisia, AL26 involves over 5,600 personnel from more than 40 nations, using innovation to drive partner-led regional security. (Photo by Jason Johnston) | Date Taken: | 05.06.2026 | | Date Posted: | 05.13.2026 09:57 | | Photo ID: | 9675981 | | VIRIN: | 260507-D-RJ303-4086 | | Resolution: | 4500x3000 | | Size: | 3.65 MB | | Location: | AGADIR, MA | | Web Views: | 3 | | Downloads: | 1 | This work, USAFRICOM Commanding General arrives to African Lion 26 [Image 11 of 11], by Jason Johnston, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
May 14, 2026 · via dvidshub.net
Live Facial Recognition (LFR) vans will be operational in Bucks next week.
Thames Valley Police have announced the vans will be present in Market Square, Aylesbury, on Wednesday, May 20.
Police use the technology to try and prevent and detect crime by locating people who are of interest to the police.
In Buckinghamshire, LFR vans have previously deployed to multiple places, including Chesham High Street on 20 April, Market Square on 13 April, and Eden Centre on 3 March.
In a Facebook post, Thames Valley Police Aylesbury Vale said: "The specialist LFR team will be working alongside our local officers to identify known suspects, deter crime and help keep our communities safer for everyone.
"We make sure to let you know before our LFR vans are in use, so everyone stays informed about what’s happening.
"While this can mean some individuals choose to avoid us, the vans can help deter crime and keep the area safer.
"Preventing crime is just as important as catching those who break the law."
May 13, 2026 · via bucksfreepress.co.uk
A woman wanted for more than 20 years has been arrested during a six-month trial of live facial recognition in south London, reports London Now. She was one of 173 people arrested during a live facial recognition pilot in Croydon, south London, which ran from October 2025 to March 2026. The Metropolitan Police used static cameras on Croydon High Street for the first time during the trial, identifying suspects involved in offences including kidnap, rape and serious sexual assault, as reported by our sister title London Now. Lindsey Chiswick, national and Met lead for live facial recognition, said: "These results show why live facial recognition is such a powerful tool when it’s used carefully, openly and in the right places. READ MORE: - How every London borough voted in the local elections — full results breakdown - Exact dates Tube strikes are set to cause travel chaos across London AGAIN - The upcoming events lined up for 2026 at Wembley Stadium - Best London runs for post-marathon 5k and 10ks "Crime in this area is down by more than 10 per cent and the public can see the difference." Further, according to them, there has been a 21 per cent reduction in violence against women and girls. Among those arrested was a 36-year-old woman wanted for failing to appear in court for an assault in 2004. Other arrests included a 31-year-old man wanted for voyeurism for more than six months and a 41-year-old man wanted in connection with a rape in November in Croydon. Ms Chiswick added: "This technology is helping us find people wanted by the courts, identify serious offenders quickly and focus our resources where they make the biggest impact, all with exceptional accuracy. "We will continue using static cameras in Croydon as part of our regular live
May 13, 2026 · via yourlocalguardian.co.uk
Abstract Predicting T cell receptor (TCR) specificity on the basis of sequence is challenging because TCRs of similar sequence can recognize entirely different antigens, whereas TCRs of different sequence can recognize the same antigens. Here we present a system that integrates high-throughput yeast display with fine-tuned protein language models (pLMs) to generate deep peptide recognition profiles (PRPs) for individual TCRs, each detailing binding against millions of peptides. We provide detailed PRPs for a panel of HLA-B*27:05-restricted TCRs from persons with ankylosing spondylitis and acute anterior uveitis that almost exclusively recognize peptides through CDR3β. pLMs trained on these PRPs outperform AlphaFold3 and tFold-TCR in predicting T cell activation. We discover and validate novel candidate autoantigens, demonstrate that model generalization to new TCRs correlates with functional distance (PRP divergence) rather than sequence similarity and introduce a model-intrinsic uncertainty metric to quantify prediction confidence. This system and its associated PRP datasets offer a scalable approach to mapping TCR recognition, accelerating antigen discovery and guiding TCR engineering. Similar content being viewed by others Main T cell receptors (TCRs) recognize a composite surface composed of antigenic peptide and major histocompatibility complex (pMHC) molecules1. Interrogation of pMHC complexes by the TCR underpins adaptive immunity, orchestrating responses to pathogens, cancer and autoimmunity2,3. However, the structural complexity of the TCR–pMHC interface presents both challenges and opportunities for biotechnological intervention4. A fundamental paradox of TCR recognition is that TCRs with little to no sequence similarity can bind the same pMHC, while nearly identical TCRs can exhibit distinct specificities5,6. Consequently, sequence-based clustering methods such as GLIPH and TCRdist capture broad statistical trends in epitope specificity5,7. However, they are limited in resolving fine-grained specificity among closely related TCRs. Current approaches to bridge this sequence–function gap face notable limitations8,9,10. While high-throughput experimental techniques such as yeast or mammalian display can map peptide
May 13, 2026 · via nature.com
Live facial recognition technology (LFR) will be used at a protest for the first time this weekend, targeting a Tommy Robinson rally in central London. Scotland Yard said it was part of “unprecedented” policing measures this weekend as 50,000 people are expected to join Robinson’s Unite the Kingdom march. A separate pro-Palestinian march marking Nakba Day, commemorating the “Palestinian Catastrophe” of 1948, is expected to draw up to 30,000 people on the same day and LFR will not be used. The Metropolitan Police said it would deploy the technology for the Robinson rally on Saturday after receiving “intelligence which indicates there is likely to be a threat to public safety from some who might be in attendance”. LFR links cameras to a “watch list” containing photos of wanted suspects. Biometric data from a person’s face is extracted and compared against photos of wanted suspects. A positive match alerts officers to seek and stop individuals. James Harman, a Met deputy assistant commissioner, said the LFR technology will not be used within assembly, rally points or along the protest routes. He added: “It will be deployed in the London borough of Camden in an area likely to be used by those attending the Unite the Kingdom event.” Harman told reporters on Wednesday: “We have been clear that we would not accept march routes or rally locations that increase the risk of intimidation to any particular community. This has been achieved on paper, but it now falls to us to deploy very significant resources … to keep groups with opposing views apart and keep everybody safe.” Chris Philp MP, the shadow home secretary, told The Times: “LFR is a powerful tool for catching wanted criminals. It should only be used for this purpose and in all relevant settings. “In previous years, Nakba Day
May 13, 2026 · via thetimes.com
Met Police arrests more than 170 people using facial recognition cameras including woman wanted for more than 20 years Polling found over half of Britons said they would feel safer if the vans were deployed on their local high street Don't Miss Most Read Over 170 people have been arrested as part of a trial into facial recognition cameras in south London, including a woman who was wanted for over two decades. In total 173 suspects were arrested for crimes including kidnap, rape and serious sexual assault during the pilot in Croydon, during which static cameras rather than vans were used for the first time. The Metropolitan Police said crime in the area reduced by 10.5 per cent during the trial, which took place between October 2025 and March 2026, including a 21 per cent reduction in violence against women and girls. The static cameras, placed on Croydon High Street, were used in 24 operations, with arrests including a 36-year-old woman who was wanted for failing to appear at court for an assault in 2004. A 31-year-old man who was wanted for voyeurism for more than six months was also arrested. Meanwhile, a 41-year-old man who was wanted in connection with a rape in November in Croydon. National and Met lead for live facial recognition Lindsey Chiswick said: "These results show why live facial recognition is such a powerful tool when it’s used carefully, openly and in the right places. "Crime in this area is down by more than 10 per cent, and the public can see the difference." The facial recognition camera has been deployed in Croydon (file pic) |PA She continued: "This technology is helping us find people wanted by the courts, identify serious offenders quickly and focus our resources where they make the biggest impact, all with
May 13, 2026 · via gbnews.com
The Metropolitan police have said organisers of this weekend’s Unite the Kingdom and March for Palestine demonstrations will be held responsible for any hate speech connected with the events, in what they expect to be “one of the busiest days for policing in London in recent years”. Tens of thousands of people are expected to march in the capital for the Unite the Kingdom event in central London and the Nakba: 78 March for Palestine from south Kensington to central London. Senior officers said protesters would face “the highest degree of control”. The FA Cup final is also due to be held at Wembley on Saturday. In a briefing, James Harman, a deputy assistant commissioner, said a “zero tolerance” operation of “unprecedented” scale would include 4,000 officers, at a cost of £4.5m, and “swift and decisive” action against disorder and hate speech. Live facial recognition will be used in an area of Camden where Unite the Kingdom attenders are expected to gather outside the event itself, “comparing the faces of those walking past, with the faces of those on a specific watchlist”, Harman added. It is not expected that facial recognition will be used on pro-Palestine marchers. Harman said: “For the first time, we’ve also imposed conditions relating to the speakers at these protests. “These conditions make the organisers responsible for ensuring that speakers they invite don’t break the law by using these events to platform from unlawful extremism to … hate speech. “Both the speakers and the organisers will face consequences if that happens.” He added: “If hate speech is used at the rally, we, the police will intervene, then and there with the speaker. Our condition places the responsibility on the organiser as well as the speaker to stay within the law.” Harman said armed police were “available
May 13, 2026 · via theguardian.com
New Bronx High School of Hip Hop will use music as ‘vehicle for learning’ for public school kids A new public high school in the Bronx will be turning every lesson into music class this fall. The Bronx School of Hip Hop is set to open its doors in Claremont in September as the first-of-its-kind city public school that uses the genre music famously pioneered in the borough as a “vehicle for learning.” “It’s a rigorous, future-ready New York City public school that is innovative and responsive to the community’s needs and really exposes our students to different pathways to really show their intelligence,” said incoming principal Jason Reyes. While its name might conjure up a different idea, Bronx School of Hip Hop won’t be going to rap class in the morning before heading to a DJ session. Instead, educators will teach the standard state curriculum through the lens of five core elements of hip hop culture. “M-ing, DJing, Graffiti, Breaking, and Knowledge of Self — these connect directly to literacy, mathematics, science, technology, entrepreneurship, media and then cultural leadership. It’s not like we have these music electives. It’s more like hip hop is embedded through the academic program as a rigorous framework,” explained Reyes, a born-and-raised Bronxite. “So MCing is still the English language. We’re talking about the analysis of rhetorical language, storytelling, literary analysis,” he continued. “When we talk about how math relates specifically to DJing and production, you’ve got sequencing ratios, algebraic expressions and pattern recognition within that, as well as the whole financial modeling side of math with statistics.” There will still be plenty of interesting classes that a regular public school might not offer, including audio engineering, beat production, video and graphic design and more. The idea for the Bronx School of Hip Hop had
May 13, 2026 · via nypost.com
Ericsson, China Mobile, and Oppo completed China Mobile’s first consumer-oriented user equipment (UE)-level slicing and application-level slicing test on a live 5G standalone (SA) commercial network. According to Ericsson, the trial validated network slicing combined with AI-powered service recognition at the UE level to deliver differentiated service experiences. The field verification, which was carried out in Dezhou, Shandong province, covered uplink livestreaming, short-video download and upload, usage of AI-powered glasses, and mobile gaming. Ericsson said the test achieved fine-grained resource allocation and isolation at both user and application levels, with validated results for typical services in guaranteed throughput and latency optimization on the existing 5G network. The work builds on existing network capabilities by extending UE-level slicing to specific users and terminals, while application-level slicing uses UE route selection policy (URSP) to support an end-to-end process; a complete technical validation chain; and the ability to host applications on slices for enhanced service capabilities in China Mobile’s 5G SA network. Under the hood Within the livestreaming and short-video scenario, the application-level slicing test created a closed-loop process around stutter detection and slice switching. When users experienced buffering while watching short videos or during uplink livestreaming, the Oppo device could inform the user and move traffic to a dedicated slice if the user chose to boost connectivity, while radio resource partitioning prioritized network resources for those applications. In congested network conditions, uplink livestreaming and short-video services reportedly maintained stable uplink and downlink speeds, with performance improving by more than two-times versus standard network performance. For gaming, Ericsson said user-perceived latency fell by at least 30% compared with conventional networks, which it framed as addressing major pain points for video and gaming experiences under heavy network load. The AI-glasses test, meanwhile, focused on device-level slicing for image recognition workflows, where captured images are
May 13, 2026 · via sdxcentral.com
A live facial recognition (LFR) technology trial on a busy south London street led to 170 arrests over six months, according to the Metropolitan Police. The pilot took place in Croydon town centre between October 2025 and March 2026. Over this period, the Met said LFR technology led to a 10.5% reduction in crime compared with the same period the previous year. Violence against women and girls offences saw the biggest reduction, falling by 21%. Arrests included a 36-year-old woman wanted for more than 20 years for failing to appear at court for an assault and a 41-year-old man wanted for rape relating to an incident in November. The pilot marked the first time that the Met in London has operated LFR deployments without the need for a police van. Previously, the cameras were mounted on vans and could only be used when officers were present in the vehicle. Instead, the pilot saw LFR cameras mounted on existing street furniture – such as lamp posts – at two locations on either ends of North End, a pedestrianised road in Croydon town centre. Cameras are only activated during deployments, when officers are present on the ground with fellow officers monitoring the camera feeds remotely. If there is an alert and someone is identified by the system, officers on the ground will talk to them and make any necessary arrests. In total, there were 24 separate deployments, during which 173 arrests were made – the equivalent of one arrest every 35 minutes. Croydon was specifically selected for the trial because of its status as a crime hotspot. Each deployment maps a person’s unique facial features and matches them against a “bespoke, intelligence-led watchlist”. After the deployment concludes, any biometric data from members of the public who are not wanted by the police
May 13, 2026 · via eandt.theiet.org
Vadzo Imaging Explains Color Science in Embedded Vision: Achieving Precise Color Accuracy for Industrial and Medical Applications Vadzo Imaging explains how color science and ISP processing impact color accuracy in embedded vision systems used for industrial, medical, and autonomous applications. The release highlights the Falcon-821CRS and Falcon-1335CRS USB camera products designed for HDR imaging, precise color reproduction, and real-time image optimization. The company demonstrates how reliable color fidelity improves performance across robotics, medical imaging, kiosk vision, drone cameras, and smart surveillance systems. FORT WORTH, Texas, May 13, 2026 (Newswire.com) - Vadzo Imaging, a designer and manufacturer of high-performance embedded vision camera products, today released a detailed technical explainer on color science in embedded vision. This release highlights how precise color accuracy directly impacts the quality and reliability of embedded camera products deployed in industrial inspection, medical imaging, kiosk systems, and outdoor autonomous platforms. As demand for OEM color camera products grows across robotics, healthcare, and intelligent infrastructure, Vadzo Imaging addresses a foundational but often overlooked challenge: how color is captured, processed, and reproduced faithfully in embedded vision systems operating under variable and demanding real-world conditions. Color accuracy in an embedded camera product is not merely an aesthetic concern. In industrial machine vision, a color shift of even a few degrees in the color space can cause a defect detection system to miss a fault. In medical imaging applications such as dermatoscopy, intraoral scanning, and pathology, clinically meaningful color reproduction is a diagnostic requirement. For outdoor deployments covering drone camera products, AGV camera products, and fleet telematics, consistent color across shifting illumination conditions determines whether object recognition and classification systems perform reliably. Vadzo Imaging offers the Falcon-821CRS and Falcon-1335CRS as its recommended embedded camera products for developers and OEMs navigating these demanding use cases. What Is Color Science in Embedded Vision
May 13, 2026 · via newswire.com
Angela Lipps says she has never been to North Dakota. She says she had never even been on an airplane. That didn't stop the U.S. marshals from showing up at her home in Tennessee and arresting her. Lipps, a 50-year-old grandmother of five from Elizabethton, Tennessee, was taken into custody in July 2025 in connection with a bank fraud case more than 1,000 miles away in Fargo, North Dakota. She was not released until around Christmas Eve, meaning she spent more than five months in custody before the case was dismissed. Investigators had used facial recognition software to compare surveillance images from the bank fraud case with photos of Lipps from her driver's license and social media. The result, according to her defense attorney, was a case that never should have gone this far. Sign up for my FREE CyberGuy Report - Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox. - For simple, real-world ways to spot scams early and stay protected, visit CyberGuy.com – trusted by millions who watch CyberGuy on TV daily. - Plus, you'll get instant access to my Ultimate Scam Survival Guide free when you join. HOW SURVEILLANCE TECH LED POLICE TO ACCUSE THE WRONG PERSON How facial recognition led police to Angela Lipps The case began with bank fraud reports in Fargo and nearby West Fargo. Police were looking for a suspect who allegedly used a false military ID to take money from accounts. Detectives reviewed surveillance footage and used facial recognition technology to search for a possible match. Then-Fargo Police Chief Dave Zibolski has described the tool as "an AI function through the North Dakota State Intelligence Center." Jay Greenwood, the Fargo defense attorney appointed to represent Lipps, joined our "CyberGuy Report" podcast at CyberGuyPodcast.com to
May 13, 2026 · via foxnews.com
Police chief 'confident' cutting edge facial recognition technology used for first time in Peterborough will bring more criminals to justice Assistant Chief Constable John Massey said the new cutting edge system would help speed up the process of identifying people who needed to be brought to justice. His comments come after it was revealed that police are to deploy state-of-the-art facial recognition technology for the first time in Peterborough from Saturday (May 16). Advertisement Hide AdAdvertisement Hide AdIt will be the first time that the system, called Live Facial Recognition (LFR) and which uses a live camera feed to identify people in the street who are on the police database and are wanted either by the police or by the courts or have failed to adhere to notification orders, has been used in Cambridgeshire. Mr Massey told the Peterborough Telegraph: “The first deployment will be on Saturday in Long Causeway and Broadway from 10am to 4pm. “There will also be a contingent of uniformed officers present as well who will decide on any course of action depending on the information from the new facial recognition system. “We are planning to bring the system back to Peterborough in June. Advertisement Hide AdAdvertisement Hide AdHe said: “We are trialling the system and afterwards there will be a rigorous analysis of the results. “But we are confident that they will be positive.” Mr Massey rejected concerns that the system might appear to some people like the work of Big Brother. He said: “It is an overt system that will be noticeable to all. "The locations where LFR is deployed will be clearly marked with signage featuring a QR code linking to information about the technology on the force website. Advertisement Hide AdAdvertisement Hide AdHe said: “It is another tool in our armoury and
May 13, 2026 · via peterboroughtoday.co.uk
Sony has announced the new a7R VI & FE 100-400mm f/4.5 G Master. The A7R VI features a 66.8MP FF Stacked Exmor RS BSI Sensor and AI-Based Real-time Recognition AF+. The stacked design achieves 5.6x faster readout speeds, which pair with AI-based processing for more intelligent AF, AE, and AWB functions. The new camera can shoot 8K 30p video, 4K at up to 120p, and it offers 8.5-stops of IBIS. It looks to be a very capable mirrorless hybrid that would be suitable for both photography and video applications. Key features - 66.8MP FF Stacked Exmor RS BSI Sensor - 30 fps Shooting with AF/AE & Pre-Capture - AI-Based Real-time Recognition AF+ - 8K 30/4K 120 10-Bit Video + Dual Gain - 16-Stop Dynamic Range + AI-Based AWB - 8.5-Stop IBIS + Composite Raw Shooting - 9.44m-Dot EVF with 120 fps Refresh Rate - 3.2″ 2.1m-Dot 4-Axis Touchscreen LCD - Illuminated Buttons + New Battery & Grip - Dual CFexpress Type A/SD Card Slots 66.8MP FF Stacked Exmor RS BSI Sensor The new a7R VI features a 66.8MP FF Stacked Exmor RS BSI Sensor. Sony states that it offers a mixture of high resolution with high clarity, low noise, and a wide 16-stops of dynamic range. The sensor’s structure promotes impressive image quality, and a copper wiring layer is claimed to improve data transmission speed for creating 14-bit, high-resolution 66.8MP stills. Native sensitivity ranges from ISO 100-32000, which can be further expanded to ISO 50-102400. The Exmor RS BSI Sensor and new processing engine offer increased processing performance compared to previous generations, which enables faster overall performance, better image quality with wide sensitivity, and higher dynamic range. The improved processing is capable of handling AI tasks and intelligent AF alongside imaging processes. This processing system is also claimed to reduce
May 13, 2026 · via newsshooter.com
LOS ANGELES, May 13, 2026 (GLOBE NEWSWIRE) -- Outdoor Innovation, the industry’s most robust recognition platform for the innovators and leaders of the Outdoor and Sports Recreation Industry, today announced that PROVUU, makers of outdoor wearable technology, has garnered “Snow Product of the Year” for its XR Goggles in the 3rd Annual Outdoor Innovation Awards Program. PROVUU is the world’s first XR snow Goggle that offers enhanced visibility in all weather conditions. The company’s patented VIEW-XR technology offers a real-time image processing engine that increases terrain contrast by up to 75% and allows users to see up to 5x further, even in a whiteout. PROVUU XR Goggles allow users to "see through" the weather and clearly identify the hidden contours of a mountain. PROVUU's enhanced visibility supports skiers with reduced contrast sensitivity or age-related vision changes, extending their "skiing life" and making the mountain more accessible for those who would otherwise be sidelined by challenging conditions. The goggles come with an easy to use button switch that turns VIEW-XR off for clearer moments, or turns on enhanced visibility whenever needed. Users can also record video clips and share the action. The Goggles are lightweight with less than 100g additional weight compared to standard goggles. The detachable handheld unit with rechargeable battery is easily stored in a pocket, and the battery and electronics are protected from damage and extreme temperatures. “PROVUU’s XR Goggle solves the visibility gap in winter sports. The odds of injury in winter sports are three times higher during poor visibility. The danger comes from the environment itself - flat light, fog, and white-out conditions force even the most experienced athletes off the mountain. Traditional optics that rely on passive tints to manage light can’t solve this problem,” said Travis Grant, Managing Director, Mindful Awards. “By integrating computer
May 13, 2026 · via markets.businessinsider.com
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May 13, 2026 · via theregister.com