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Councilor says city forming policy on <b>facial recognition</b> cameras -

Trending MORGANTOWN - Morgantown City Councilor Joe Abu-Ghannam said he is working with city staff on an ordinance regarding the use of facial recognition technology on city-owned property. His comments, shared at the end of Tuesday's meeting, come as public pushback against the Monongalia County Commission's implementation of Flock Safety automated license plate reader cameras continues to ramp up. While the 20 cameras deployed by the county do not utilize facial recognition software according to information shared by the Monongalia County Sheriff's Office, cameras with that capability are available. "It's something that I've talked with our city manager and with our city attorney about for quite a while in terms of my big concern, not necessarily with a brand being Flock, but just the overall idea of facial recognition technology on city property," Abu-Ghannam said. “So it's something that we've been working on an ordinance to be able to address." Abu-Ghannam said the ordinance could be before council as soon as next month. "Hopefully in the month of September. Probably not next week because we were going to discuss a few portions of it. But it is recognized and it is a concern I have shared for a long time. I'm glad to see that we are going to be able to bring it forward in September. I wish we could have done it sooner." The city has one pole-mounted license plate reader camera, located at the corner of High and Wall streets. Further, the city has 49 security cameras located throughout the downtown based on a 2023 contract with Verkada. A representative of the city previously said none of the city's cameras have facial recognition capabilities. Outgoing 7th Ward Councilor Brian Butcher said he hopes council will take steps to keep it that way, stating his own concerns with

DynamicBUS: restoring temporal dynamics from static ultrasound for improved breast cancer ...

Abstract The clinical practice of archiving static 2D images from dynamic breast ultrasound (BUS) examinations loses vital temporal information, limiting computer-aided diagnosis systems. We challenge this constraint by proposing a novel framework that computationally recovers lost temporal dynamics to enhance diagnostic accuracy. Our framework first synthesizes a BUS video from a static key frame using a purpose-built generative model. We introduce a key-frame conditioning strategy to ensure the anatomical fidelity of the lesion is preserved while generating useful dynamic cues. Subsequently, the high-fidelity static image and the synthesized video are fed into Image Video network(IV-Net), a dual-branch fusion network that integrates pristine spatial details with recovered temporal context for robust classification. Evaluated on internal and external datasets, our framework outperforms methods relying solely on static images, achieving AUC of 94.13% and 82.55%, respectively. Furthermore, a reader study indicates the generated videos are indistinguishable to experts and improve diagnostic performance. Overall, our method demonstrates generative model potential to restore lost information, paving the way for reliable BUS diagnostics. Similar content being viewed by others Article PDF Introduction Breast cancer is the most prevalent and threatening disease in females1. Ultrasound imaging is one of the most widely used screening techniques for breast cancer. Radiologists use a transducer across the tissue to observe lesion morphology, echogenicity, and deformation from different points of view. Thus, diagnosing with breast ultrasound (BUS) inherently involves dynamic imaging. This spatio-temporal information is used by clinicians to distinguish the possibility of malignant and benign lesions. Unfortunately, in clinical practice, only a few representative static 2D frames are usually archived in a patient’s health records, while the dynamic video is discarded2. The Automated Breast Ultrasound (ABUS) can automatically capture full volumetric data blocks3, but this technology is still not prevalent in most institutions. Within the domain of computer-aided breast ultrasound

Ottawa County sheriff defends Flock cameras, addresses vandalism after public pushback

OTTAWA COUNTY, Mich. — The Ottawa County sheriff is pushing back against public concern over the county's use of license plate reader cameras, saying much of the criticism is based on misinformation — while also revealing that a 19-year-old has been charged with deliberately destroying one of the devices. The statement from Sheriff Eric DeBoer comes after residents raised concerns at this week's Ottawa County Board of Commissioners meeting, where commissioners suggested holding a future work session on the topic. DeBoer said he takes the public's concerns seriously and welcomes a work session with the board but said much of the fear surrounding the technology stems from misunderstanding. "A lot of the concern being raised is based on misinformation or a genuine misunderstanding of what this system actually does," DeBoer said. "To be clear: it captures an image of a license plate already visible on a public roadway, the same information any deputy could lawfully observe and photograph without a warrant." He laid out specifically what the system does and does not do: It checks plates against law enforcement databases for stolen vehicles, missing persons and Amber Alerts. - It does not run the plate with the Secretary of State to find the registered owner. - It does not use facial recognition. - It does not know who's driving. - It does not track where a vehicle is headed. - It is not used for traffic enforcement. "Every search of our system requires a documented reason, and no enforcement action is ever taken based on an alert alone; deputies independently verify every hit before acting," DeBoer explained. Since 2024, the Flock system has contributed to 124 arrests in Ottawa County, helped recover more than $906,000 in stolen property and led to the recovery of 72 stolen vehicles and 11 illegally

Josh Parker: The 100 Most Influential People in AI 2026

When Josh Parker joined Nvidia in 2023, there was just one other person on a team responsible for leading the sustainability strategy and public policy initiatives. It didn’t deter him from his belief that they could make a difference. “Nvidia is at the center of the AI revolution,” he says. “This is a really good opportunity for us to have a positive impact.” Three years later, his team has increased fourfold and taken on the challenge of communicating AI’s potential benefits, from automated energy management to image-recognition recycling, to a public that remains skeptical of the technology. The AI industry at large has faced questions about its environmental impact. While Nvidia has set a 2030 target to significantly reduce its emissions, it has yet to release data on the full climate footprint from the use of its products, prompting shareholder calls for greater transparency. In June, Nvidia’s annual sustainability report revealed that indirect greenhouse gas emissions from across its value chain, known as Scope 3, nearly tripled over two years. In a moment when data centers are facing scrutiny for their water and energy usage, Parker says Nvidia is making strides to make newer data centers more energy-efficient. The company’s latest Rubin generation of AI architecture is the first to achieve 100% liquid cooling, a breakthrough that Nvidia says will help dramatically reduce cooling energy consumption. The company is also piloting technologies that allow data centers to adjust their power usage during periods of peak demand to help ensure efficiency. Yet more needs to be done to inform the public of potential benefits, Parker says. “I think we need to do a better job of communicating what the actual impacts are, what modern AI looks like, and how sustainable it is.”

ACC Chief Counsel Employees Win Individual Army Awards [<b>Image</b> 1 of 4]

ACC Chief Counsel Employees Win Individual Army Awards - LTC Shawn Peterson, the third awardee, was not physically located at ACC Headquarters. He still received a phone call from MG Christine with the award announcement and recognition in front of his peers and leaders. | Date Taken: | 08.25.2026 | | Date Posted: | 08.26.2026 16:24 | | Photo ID: | 9890979 | | VIRIN: | 260825-A-FT275-3147 | | Resolution: | 2387x2519 | | Size: | 1.3 MB | | Location: | REDSTONE ARSENAL, US | | Web Views: | 5 | | Downloads: | 0 | This work, ACC Chief Counsel Employees Win Individual Army Awards [Image 4 of 4], by Giselle Lyons, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.

Dorset Police deploy live <b>facial recognition</b> system | Bournemouth Echo

Dorset has launched a live facial recognition system for the first time to identify wanted persons and sex offenders in the area. The system was launched on Wednesday, August 26 and scans faces in its “zone of recognition”, comparing any match with a photo on its watchlist. An officer in the van alerts patrol officers in the zone, who approach anyone the system identifies. During Tuesday’s operation, the watchlist included wanted people, named crime suspects, people subject to court orders such as sexual harm prevention orders and missing people. When the Echo joined officers near the beach, the LFR system spotted a known sex offender approaching the pier. Officers quickly stopped the man, who was out on licence but had not breached any conditions. No further action was taken. The pier is one of six designated hotspots across Dorset, alongside Bournemouth Square and Boscombe High Street. One resident said she hoped the system would “find naughty people” and said she was not concerned about its wider use. Another resident said they hoped the system would “justify the cost”. Jamie Halford, detective chief inspector in the Intelligence Department, said about 5,000 people are on the county’s watchlist and the system is “very, very accurate”. “There’s been lots of testing done with this technology over a number of years,” he said. “We’re talking in the probably point percentages of false matches.” He added: “There’s that human element when we go and engage with that person to find out who they are.” Dorset police and crime commissioner David Sidwick said: “You can’t put it on every street all the time. “That would be a police state – that’s not something I would ever agree with – but to actually find those individuals on that watchlist in high areas of traffic. “If it finds

Dorset men charged over extreme animal pornography

Men charged over extreme animal pornography Two men have been charged with possessing extreme pornographic images involving animals. In Dorset, a 37-year-old man from Lytchett Matravers and a 35-year-old man from Verwood are accused of possessing the images. The 35-year-old man and a 30-year-old man, also from Verwood, have also been charged with causing unnecessary suffering to an animal. Police said the charges related to content found on two seized mobile phones. All three men are due to appear at Southampton Magistrates' Court on Wednesday. Related Links

SoCal coastal enclave makes stunning call on controversial Flock cameras

SoCal coastal enclave makes stunning call on controversial Flock cameras See more of our coverage in your search results. Add The California Post on Google Santa Barbara is giving controversial Flock license-plate cameras the boot — but the fight over police surveillance is far from over. The city’s contract with Flock Safety expired Aug. 23 after residents blasted the automated license plate reader technology over privacy concerns, including fears that data could be shared with federal immigration authorities. At a City Council meeting Tuesday, members stopped short of signing a deal with another surveillance company and instead ordered a review of the city’s policy governing automated license plate readers, or ALPRs. For now, Santa Barbara will have no automated license plate cameras operating. The coastal city had been using 12 Flock cameras since late 2023. Police Chief Kelly Gordon said the technology helped cops locate stolen cars, identify suspect vehicles and investigate serious crimes. Gordon said the cameras were used to identify suspects in a serial jewelry store robbery, a stabbing and attempted homicide and an assault in 2025. Solved violent crime cases increased 11% since the cameras were introduced, while solved hit-and-run cases rose 9%, she said. But residents said the potential privacy risks weren’t worth it. Eric Boser told the council that “we’ve seen across the country” how the technology can be “abused, misused, and target members of our community.” Britney Sarate, whose father is a 30-year law enforcement veteran, said there’s “case after case” of ALPR technology being used to “stalk women.” She also accused Verkada, the company Santa Barbara had considered as a Flock replacement, of being “specifically accused of using this technology to stalk and harass women.” Verkada’s system differs from Flock in that the cameras would be city-owned and controlled, with no public or

ICO says police use of <b>facial recognition</b> needs urgent attention | UKAuthority

The Information Commissioner’s Office (ICO) has examined the use of facial recognition technology (FRT) by police forces in England and Wales, highlighting the need for strong data protection governance to maintain public trust Emily Keaney, Deputy Commissioner for Regulatory Policy at the ICO, said in a blog: “There are clear arguments that live facial recognition can assist law enforcement agencies in preventing and detecting crime. However, its use carries significant risks, including wrongful intervention or arrest from false matches. The benefits need to be balanced alongside the risks, with strong oversight, accountability, and safeguards that meet the requirements of data protection law.” The ICO’s research showed that while people support the use of FRT, their support is conditional on the technology being accurate, unbiased, and respectful of privacy. Over the past year, the ICO audited five police forces, revealing inconsistencies in data protection compliance. While some good practices were identified, significant improvements are still needed. Keaney added: “Strong data protection governance is essential to public trust. Embedding clear safeguards in how FRT is used helps to reassure people and increase confidence that the technology is being used fairly and lawfully.” The audits revealed areas requiring urgent attention, including clear senior oversight, proper record-keeping, appropriate data sources, and steps to reduce the risk of unfairness or bias. Across the five audited forces, the ICO made 107 recommendations, all of which were accepted or partially accepted. In 2025, bias in the algorithm used by UK police forces for facial recognition searches within the Police National Database was reported. The National Police Chiefs’ Council (NPCC) and the Home Office have put mitigations in place, including staff training and equality impact assessments, alongside plans to replace the algorithm. The ICO continues to engage with the government, NPCC, and other oversight bodies as the legislative

Ode to Dolly: Bridging Imagination with Machine Vision

Ode to Dolly: Bridging Imagination with Machine Vision After learning about Dolly Parton’s passing, I listened to her Essentials playlist last night and was reminded not only of her incredible talent but also of her remarkable character. Rather than focusing solely on accumulating wealth, she has consistently used her platform and resources to expand access to education, literacy, and opportunity. Her legacy is a testament to authentic leadership and vision that reaches far beyond fame. So what does this have to do with VSD? In our industry, vision is often discussed in technical terms: cameras, lenses, sensors, and the hardware and software that allow machines to see, interpret, and act on the world around them. Dolly’s life reminds us that vision also embodies imagination, empathy, and a commitment to inclusion. Her Imagination Library illustrates this. By mailing free books, including braille and audio formats, Dolly helped ensure that children of different abilities and circumstances could access new worlds through stories and learning. In its own way, machine vision does something similar: it expands what can be perceived, interpreted, and acted upon. Where Dolly expanded access to literacy and learning, machine vision extends human perception, enabling systems to identify, measure, and analyze details beyond the limits of human observation. Just as Dolly’s work focused on using resources to overcome barriers, modern vision systems help manufacturers overcome limitations in human perception, enabling inspections and decisions that would be difficult, unsafe, or impossible to perform manually. Today’s vision systems integrate deep learning, AI, and advanced image processing algorithms to enable machines that see with accuracy, consistency, and insight. For engineers and integrators, this means balancing performance with practical requirements like safety, reliability, and the dynamic needs of manufacturing floors. Designing and building vision systems that are robust and easy to integrate can be

What's about to change on Facebook and Instagram: six key takeaways from the end of the Meta trial

New settings cannot be changed without the permission of a supervising parent account that is linked to the teen account. Photograph: Anna Barclay/Getty Images New settings cannot be changed without the permission of a supervising parent account that is linked to the teen account. Photograph: Anna Barclay/Getty Images What’s about to change on Facebook and Instagram: six key takeaways from the end of the Meta trial Settlement agreement says Meta must make many safety and wellness features the default option for young users Meta has agreed to put new guardrails on teenagers’ use of its apps, in a decision that could fundamentally change the social media experience for young people in the US. In a turnaround, the social media giant will make several safety limitations the default option for young users, instead of requiring them to opt in. The changes came as part of a settlement in a major trial in California, which also requires the social media company to pay up to $17bn to the states that filed suit. Meta also agreed to pay $1bn to the state of Texas, which wasn’t part of the lawsuit. The agreement represents the first time that Meta has been forced to change key features of the experience of everyday users on its home turf. Rob Bonta, the California attorney general and a lead lawyer on the case, brought by 29 states, called the changes a “watershed” moment and said the default nature of the features will make it harder for young users to circumvent these guardrails. 1. Default safety restrictions The biggest alteration is that Meta, the parent company of Instagram and Facebook, is now required to make many of its safety limitations the default setting for accounts created by teens, a pivot from its previous opt-in approach to child safety. These

How could <b>facial recognition</b> technology differ from CCTV?

How could facial recognition technology differ from CCTV? While security cameras are a regular feature in many supermarkets, new technology could change the face of how businesses monitor customers. Facial recognition technology (FRT), which scans the features of a person's face, is one of the big talking points in this realm. Some people already use it to unlock their phones but the prospect of it being used by supermarkets has raised privacy fears. What is facial recognition technology? It goes beyond taking a photo. Instead, think of it more as a scan that creates a detailed map of someone's face. It looks for distinct features of a person's face, like the distance between eyes or the distance between your chin and forehead, and uses this information to build what's called a biometric template. "The biometric template is then compared against one or more pre-extracted biometric templates for the purpose of facial verification or identification," the office of the Australian Information Commissioner's (OAIC) website says. Where is it being used? One of the most obvious examples of facial recognition being used is at Australia's international airports, where SmartGates use the technology to check a person's identity against their passport. Another use is in smartphones, which allow users to unlock their devices with a facial scan instead of manually entering a password. But there is the possibility it could become more widespread. Earlier this year, the Administrative Review Tribunal ruled that Bunnings was reasonably entitled to use facial recognition technology in its stores, which experts said could pave the way for other stores to follow suit. Bunnings' website says it is preparing to introduce the technology into Australian stores in accordance with the ruling, with a spokesperson for the store confirming FRT has not been used since a trial in 2021. Last

AI Data Marketplaces Are Going Live, Here Is What You Need To Know | Yellow

Every time you search, browse, or interact with an app, you generate data. That data is worth billions to AI companies. But the platforms that collect it keep almost all the value. A new generation of decentralized AI data marketplaces wants to flip that arrangement — using crypto to pay contributors directly whenever their data trains a machine learning model. The mechanics go deeper than a simple "own your data" slogan. There are verification layers, staking systems, privacy constraints, and token economics — and together they decide whether a contributor gets paid fairly or not at all. This piece explains how those systems work, from the ground up. TL;DR - Decentralized AI data marketplaces connect people who own raw data with AI developers who need labeled, verified training sets, and use crypto tokens to handle payments trustlessly. - Contributors submit data, which is verified on-chain or via decentralized oracle networks before a payment is released, removing the middleman platform from the revenue split. - Privacy-preserving techniques like federated learning and zero-knowledge proofs let data be monetized without the raw underlying information ever leaving the contributor's device. - Token economics, including staking, slashing, and reputation scoring, align incentives so contributors submit accurate data rather than junk. - Projects like Kled AI on Solana represent the current frontier, but the model spans multiple chains and several competing architectures. Why AI Companies Need So Much Data And Who Pays For It Today Large language models and image-recognition systems are data-hungry in a way that's hard to overstate. A single training run for a frontier model can consume hundreds of billions of text tokens, millions of labeled images, or years' worth of recorded human behavior signals. That data has to come from somewhere. Today, most of it comes from a handful of routes. Web

Meta pledges to overhaul kids' safety protections, pay $17 billion to settle social media case

Meta pledges to overhaul kids’ safety protections, pay $17 billion to settle social media case In a bellwether case for U.S. privacy and kids’ online safety rules, social media giant Meta agreed Monday to pay $17 billion and implement a series of landmark reforms, settling accusations that it knew and hid findings that its Facebook and Instagram apps are addictive. The settlement, agreed to just days into a civil trial, requires the tech giant to drastically overhaul its approach to how kids use its service. The plaintiffs included nearly every U.S. state and territory. The lawsuit also alleged Meta flouted the federal Children’s Online Privacy Protection Act (COPPA), collecting data from kids 12 and under by relying on self-reported ages instead of facial recognition or other more rigorous age verification tools. The lawsuit, spearheaded by California, Colorado, Kentucky and New Jersey, is widely considered a landmark for testing how courts will view social media harms and children. “It is an unprecedentedly high number,” California Attorney General Rob Bonta said of the fine at a Wednesday press conference. “It’s the highest financial payment of its kind, way higher than opioids.” But Bonta said the large payout is nowhere near as important as the staggering range of reforms the attorney generals say Meta will implement. Meta has agreed to limit time on its apps to two hours per day for users under age 18; block youth from using the platforms between midnight and 6 a.m.; ban users under 18 from seeing “likes” or other reactions to their posts; and bar them from using cosmetic surgery image filters, according to Bonta. The settlement also requires Meta to offer young users the ability to have a “non-personalized” feed that is not shaped by an algorithm. Default blocks on notifications to users under 18 from

San Francisco Airport Contractor Exports <b>Facial</b> Data to Federal Agencies, Critics Charge

A San Francisco International Airport contract for facial recognition technology that sends data to Customs and Border Protection violates local sanctuary city policies, advocates said at an Airport Commission meeting Tuesday. Edward Hasbrouck, a consultant to the Identity Project, a human rights organization focused on freedom of movement, said documents he obtained through a public-records request show SFO agreed to pay $2 million a year starting in late 2024 to operate a facial recognition system. The manufacturer, SITA Information Networking Computing USA Inc., exports the data it collects to federal immigration authorities assisting in detention and deportation of immigrants, according to the contract. The document details the capabilities of the company’s Facepod device, stationed at departure gates in terminals 1 and 2, and International Terminal B. Hasbrouck underscored that data shared with Customs and Border Protection can trigger alerts to Immigration and Customs Enforcement. Douglas Yakel, an airport spokesperson, said in an interview that the airport itself does not collect or share passenger information, adding, “We don’t own facial recognition technology.” Asked in an email to clarify whether contractors themselves owned the devices, Yakel did not reply in time for publication. Criticism of the airport’s practices come at a time when rules governing surveillance technology use across city government have come under scrutiny and regulations are being rolled back. An ordinance proposed and passed last month by the Board of Supervisors reduced oversight of several departments, including the airport. Information about passengers’ identities and itineraries are routinely shared with the government through private companies. For instance, federal law requires airlines to submit traveler data to the Transportation Security Administration. “Airports don’t have the authority to decide what type of federal agency activity occurs within our airport,” Yakel said. The airport signed the contract with SITA on Dec. 3, 2024, and

Telangana: Nalgonda collectorate to enforce <b>facial</b>-<b>recognition</b> attendance soon

NALGONDA: Following complaints about officers and staff being unavailable during working hours, Nalgonda collectorate will enforce a facial-recognition attendance system across all departments from September 1. According to District Collector B Chandrashekhar, this move is aimed at improving transparency and accountability. About 1,200 employees working in 45 departments within the collectorate will come under the new system, which applies to all personnel, from senior officials to security guards. Officials said the ‘Mee-Pramanam’ mobile application, developed by the Telangana Information Technology, Electronics and Communications (ITE&C) department, will be used to monitor attendance and ensure that employees remain available to the public during working hours. Using the free application, officers and staff must pre-register their personal details and facial features. They will have to mark their attendance daily within the office premises using their smartphones. The release of monthly salaries and other service bills will be linked to attendance recorded through the app. The app uses geo-fencing, liveness detection and Aadhaar-linked facial recognition to prevent proxy attendance, officials said. Its offline feature will enable attendance marking even in areas with poor network connectivity. Senior officials will also be able to monitor attendance through an integrated dashboard and web-based reporting system. The administration expects the system, particularly the linking of salary disbursement to attendance, to improve punctuality and ensure faster delivery of public services.

Norway to crack down on use of smart glasses

Norwegian officials have said the country is planning to regulate the use of smart glasses and similar devices, and was considering a ban on features that enable facial recognition in public spaces. Smart glasses allow the wearer to shoot photos and videos, listen to music, take phone calls, translate signs in a foreign language, project text or maps into your field of view, or interact with an integrated AI assistant. "We can see that people's private lives and privacy are coming under pressure from new technology, and I therefore want to regulate smart glasses and similar devices more strictly than today," Digitalisation Minister Karianne Tung said in a statement. "This could, for example, mean banning features such as facial recognition of other people in public spaces," she said. She said she planned to appoint an expert group to advise the government on how to better protect consumers from the new technologies, and urged the public and private sectors to consider their own guidelines. "There is a clear trend that artificial intelligence is being combined with cameras and microphones that are built into things like glasses, earbuds, caps, and other items we use in everyday life. We must avoid this equipment being used to monitor other people in public spaces," Ms Tung said. Norwegian Consumer Council's head of digital policy, Finn Lutzow-Holm Myrstad, hailed the government's move, and urged retailers to stop the sale of smart glasses until there was legal clarity on the issue. Meta has reportedly developed a facial recognition feature ready to be integrated into its smart glasses. "Meta already has this technology ready to go, and it is only a matter of time before it is rolled out in the glasses," Mr Myrstad said. He warned that a ban on facial recognition features on such devices would

We're sleepwalking into an AI surveillance dystopia

There are almost too many ways it could start. Emboldened ICE agents are sent en masse into another blue city. The White House sends federal agents to “observe” polling stations. Federalized national guards are deployed. In the face of what they see as a life-or-death threat to their neighbors — or to American democracy itself — local residents start to mobilize, as they have in so many cities before. As public social media accounts post details of protests, these are already being cross-referenced against bulk public datasets — bought, entirely legally, by federal agencies — to identify who is behind them. Connecting your TikTok account to a shop for a discount, or using X to log in to a delivery service just once, is enough: entirely legally, your anonymous social media account is tied to your real identity, and perhaps even your home address. From there, contact networks can be unmasked. This time, though, the federal government has made preparations. Under the guise of monitoring for foreign interference in US politics, the FBI has been operating hundreds of AI-powered personas, or “bot” accounts, based in different US cities. Having built up a posting history over the course of months, these AI agents easily earn the trust required to get inside the various Signal and Telegram groups used to mobilize resistance, gathering information about meet places, timings and unguarded statements. Usernames and other details are easily matched to real-world identities, including their full online histories, their Amazon purchases, their…everything. By the time anyone even takes to the streets, the government has the contents of their messages and coordination, and has preloaded facial recognition systems and geo-tagging tools to ping when certain individuals cross a police line, or enter somewhere off-limits. It is ready for mass arrests on all manner of charges: