The U.S. State Department is developing a new way to get a passport photo. Secretary of State Marco Rubio said the department is coming up with a more streamlined process that would allow applicants to take and upload passport photos using their computers or photos, USA Today reported. The agency already has a process to allow people to upload photos on their own, but they must meet the current State Department requirements. Click here to see the regulations. The new platform will use built-in real-time facial recognition to speed up the process, allowing a person to do the photo on their own, but they won’t have to go to a third party to get it done. “You should be able to take that picture on that device as opposed to going somewhere. Now, the CVS people, of course, hate this, and the Walgreens and all those other places,” Rubio said during an event rolling out a new, commemorative passport this month. “But you’ll be able to take your picture from that device and be able to have it in real time, through our security system, verify the facial ID.” Rubio also promised more changes to the process for easier passport applications. © 2026 Cox Media Group
Jul 9, 2026 · via wsbradio.com
Amazon is facing a class action lawsuit in federal court over claims that its Ring doorbell cameras used facial recognition technology to scan, identify, and store people’s faces without their consent.The complaint was filed on June 1 by Virginia resident Charles Sigwalt in federal court in Seattle, where Amazon has... Read More » Apple Hit With Illinois Biometric Privacy Suit Over Eye Scans Apple Inc. is facing a proposed class action in federal court in Illinois over claims that its Face ID system secretly captures detailed scans of users' irises and retinas without the written consent required under the state's biometric privacy law. The complaint, filed Saturday, was brought by Samantha Mettler, an Illinois resident who says her eye data was gathered both when she set up Face ID and later through the feature's ongoing attention-tracking function. According to the filing, Apple is upfront with customers that it captures facial geometry to power its facial recognition system. Still, the company never separately discloses that the same process also involves scanning the eyes at a much more granular level. Mettler's attorneys argue that obtaining permission to collect one category of biometric data does not automatically extend to a different type of data gathered through the same feature. Central to the suit is the claim that Face ID cannot even be activated unless the device's camera detects the user's eyes, a requirement the complaint says exists specifically so the system can verify a person is actually looking at the phone. That verification step, the lawsuit contends, depends on capturing iris or retinal information, whether or not the person ever finishes enrolling in facial recognition. The suit further alleges this scanning continues in the background through what Apple calls attention-aware features, which dim the screen when a user looks away or quiet notifications
Jul 9, 2026 · via lawcommentary.com
Traditional bespoke tailoring often requires multiple in-person fittings, making it difficult for many customers to access truly custom-made clothing. Rosie Hong brings the bespoke experience online by combining detailed body measurements with advanced technology and expert craftsmanship. Using 3D body scanning and AI-assisted measurement tools, the platform captures precise sizing information that is then refined by experienced tailors to create garments tailored to each individual. The goal is to provide the accuracy and personalization of bespoke fashion while allowing customers to complete the process remotely. Rosie Hong is designed for people seeking custom-fitted clothing without the limitations of traditional tailoring appointments. By blending digital measurement technology with skilled tailoring, it offers a modern approach to made-to-measure fashion. AI-Powered Bespoke Fashions Rosie Hong Delivers Tailored Clothing Using 3D Scanning Technology Trend Themes - AI Bespoke Tailoring — Digital measurement systems are reshaping custom apparel by making precision fit and individualized garment production available without repeated studio visits. - Remote Body Scanning — Camera-based and 3D scanning tools create new pathways for brands to collect accurate sizing data and reduce friction in personalized commerce. - Hybrid Craftsmanship Platforms — The combination of algorithmic measurement and human tailoring expertise introduces scalable models for premium products that retain artisanal quality. Industry Implications - Fashion Technology — AI-enabled sizing and virtual fitting infrastructure expand the market for made-to-measure clothing while addressing long-standing fit and return challenges. - E-commerce Apparel — Personalized digital fit experiences differentiate online retailers by bringing traditionally offline services into remote shopping journeys. - Luxury Retail — Bespoke services delivered through digital channels broaden access to high-end customization and redefine exclusivity around convenience and precision.
Jul 9, 2026 · via trendhunter.com
Meta’s new AI app is creating an image problem Muse AI can be used to generate photos of Instagram users with public profiles Meta this week unveiled Muse, its AI image generator. It works a lot like all the others, except with a problematic feature that’s resulted in backlash: Muse allows anyone using it to manipulate pictures of any Instagram user with a public profile unless they actively opt out. Muse was designed to appeal to advertisers devoid of an art department. But it will also be rolled out through the Meta AI app, Facebook, WhatsApp, and Instagram for anyone else. Since the creepiest person you know can grab a pic off anyone’s public profile and use it to create an AI image just by tagging the account, it’s reminding people of Meta’s history of lax privacy standards: - In 2019, Meta paid a $5 billion fine over its role in allowing Cambridge Analytica to access the data of millions of Facebook users ahead of the 2016 US presidential election. - Two years later, Facebook shut down its facial recognition system after facing lawsuits over its collection of biometric data. To opt out on Instagram, you can set your profile to private or find the “sharing and reuse” tab in your settings and toggle off “allow people to use your content on Instagram and with AI features on Meta,” although some users may not have those tabs available yet.—DL Become smarter in just 5 minutes Morning Brew delivers quick and insightful updates about the business world every day of the week from Wall St. to Silicon Valley. By subscribing, you accept our Terms & Privacy Policy. Become smarter in just 5 minutes Morning Brew delivers quick and insightful updates about the business world every day of the week from Wall
Jul 9, 2026 · via morningbrew.com
Anantnag, Jul 08: In a significant success demonstrating the effectiveness of advanced surveillance technology deployed for the ongoing Shri Amarnath Ji Yatra, the Facial Recognition System (FRS) installed by Anantnag Police generated timely alerts about three suspicious individuals as they passed through the Sarbal area.
Acting swiftly on the alerts, police personnel intercepted the individuals and verified their identities. "During the verification process, all three were identified as Over Ground Workers (OGWs). Based on the intelligence generated through the Facial Recognition System and subsequent verification, all three individuals were promptly apprehended by Anantnag Police for further legal proceedings," a police spokesperson said.
He said the successful detection highlights the crucial role of technology-driven policing in strengthening the security grid and ensuring a safe, secure, and incident-free Shri Amarnath Ji Yatra.
"Anantnag Police remains committed to leveraging modern surveillance systems and maintaining a robust security framework to safeguard pilgrims and uphold peace in the district," the spokesperson said.
Jul 9, 2026 · via risingkashmir.com
APIC 2026: Two Presentations Highlight Personalized Prevention and the Power of Data APIC 2026 presenters Ekaete Usoh, MPH, MSc, CIC, VA-BC, and Risha Patel, MPH, CIC, shared practical strategies for reducing health care-associated infections through health equity, standardized data tracking, and interdisciplinary collaboration while encouraging infection preventionists to take advantage of APIC's educational and networking opportunities. At APIC 2026 in Nashville, Tennessee, 2 poster presentations demonstrated that effective infection prevention depends on more than following established protocols. It also requires adapting interventions to individual patient needs and using data to drive timely, collaborative decision-making. Ekaete Usoh, MPH, MSc, CIC, VA-BC, an infection preventionist at Kaiser Permanente Los Angeles Sunset and member of the Greater Los Angeles APIC Chapter and the APIC Health Equity Committee, presented research exploring health care-associated infection (HAI) prevention bundles through a health equity lens. She presented with other members of the APIC Health Equity Committee, including Krystal Robinson, MPH, CIC, CHIPP(B); Caitlin Sharkey, MPH; Nicole Henry, DrPH, MPH, CIC; and Chrystia Johnson, MSHS, MT(AMT), CIC. The title was From Awareness to Action: A Dialogue About Health Equity in Practice. Her presentation challenged attendees to think beyond simply completing bundle elements and instead consider whether those interventions are equally effective for every patient. "Our patients differ," Usoh said. "Every patient should have the same effect of the bundle." The project does not advocate changing evidence-based bundles. Instead, it encourages infection preventionists and frontline clinicians to consider whether standard interventions are being applied in ways that meet individual patient needs. Usoh shared the example of a patient with dementia who repeatedly pulled at a central line. Although staff documented daily rounds and line necessity assessments according to protocol, the patient's unique condition required additional attention beyond the standard once-per-shift evaluation. "The bundle elements have been shown evidence-based. They
Jul 9, 2026 · via infectioncontroltoday.com
Police detain 2 teens after a joy ride in a Waymo in Northern California Police have detained two 15-year-olds who they say were drinking and shooting water beads while riding a self-driving Waymo around town LOS ANGELES -- Police detained two 15-year-olds who they say were drinking and shooting water beads while riding in a self-driving Waymo after the company alerted law enforcement in Northern California and remotely forced the vehicle into a parking lot, officials said. San Mateo police officers stopped and searched the vehicle Monday afternoon after a Waymo representative contacted them, department spokesperson Jeanine Luna said. Photos from a bystander shared with a local TV station showed the teens hanging out of the Waymo’s windows. Police say they determined they were drinking in the car and shooting Orbeez, which are soft, water-absorbent polymer beads, out into the streets. Waymo pulled the vehicle over into a parking lot and let officers know they were doing so. “The occupants were not locked in and had every ability to exit the vehicle,” Luna said in an email. Officers were able to communicate with a Waymo representative through the vehicle's communication system during the stop, Luna said. The San Mateo Police Department posted about the incident on social media and warned people about underage drinking and the danger of water bead guns. The post garnered more than 150 comments, with some expressing concern about surveillance and whether it was acceptable for Waymo to deliver the teens to the police. Waymo did not respond to emailed questions about how the company was alerted to the teens' behavior and if the teens were informed the car was being pulled over. According to a support page online, cameras inside Waymos are used to make sure cars are clean, find lost items, and provide help
Jul 9, 2026 · via abcnews.com
Xailient’s facial recognition technology for casinos gets GLI validation Xailient has received independent validation from Gaming Laboratories International (GLI) for Casino Eye-D, its edge AI facial recognition platform for casino environments. The validation confirms the functional capabilities to integrate with a casino management system (CMS) to support patron identification, loyalty engagement, and anti-money-laundering monitoring. Importance of GLI validation The validation is important because casino technology operates in one of the most tightly regulated commercial environments. GLI is one of the industry’s major independent testing and certification labs that evaluate gaming systems before they are introduced into the casino markets. The company tests, reviews, and reports on gaming devices and systems against requirements set by gaming jurisdictions worldwide. Many regulators use GLI standards as a reference point when developing or applying their own rules. GLI’s review gives Xailient a third-party technical assessment from an organization that gaming operators and regulators already recognize. It gives the stakeholders a basis for understanding what Casino Eye-D does, how it connects to CMS platforms, and where its functional boundaries lie. “As casinos adopt AI-driven technologies to improve guest experiences and operational efficiency, independent validation provides operators, regulators, and technology partners with full transparency and confidence in these technologies’ functionality,” says Lars Oleson, chief executive officer at Xailient. Casino facial recognition integrates with CMS Xailient says the reviewed capabilities included patron identification and recognition through casino management system integration, automated enrollment, image quality assessment, enterprise-scale biometric processing, and identity management. Those functions are critical because a casino-floor facial recognition system must integrate with the appropriate operational workflow. For loyalty engagement, this means recognizing a known patron and supporting player recognition or bonusing. For compliance and security teams, it means identifying an excluded patron and generating an alert for staff review. The review also covered secure API-based
Jul 8, 2026 · via biometricupdate.com
New passport system will make taking at-home photos easier Getting and renewing your passport might get just a little bit easier, according to Secretary of State Marco Rubio. On July 2, Rubio said the State Department is developing a more streamlined system that would allow Americans to more easily take and upload passport photos using their phones or computers. Americans can already upload passport photos taken from their phones and computers; however, they must meet the Department of State's strict requirements. Rubio said the new system will use real-time, built-in facial recognition technology to make the process even quicker. "You should be able to take that picture on that device as opposed to going somewhere. Now, the CVS people, of course, hate this, and the Walgreens and all those other places," Rubio said. "But you’ll be able to take your picture from that device and be able to have it in real time, through our security system, verify the facial ID." In addition to easing the process of taking and submitting passport photos from home, Rubio outlined plans to allow passport applicants to complete nearly the entire process online. “Now, beyond that, I would say that we are also looking at some technological changes, which we’ll be more fully able to announce over the coming months, where it’s going to be a lot easier to get a passport in terms of the dynamics of it. You’ll actually be able to go online,” Rubio said. Rubio’s comments came during a reception launching a commemorative passport marking the nation’s 250th anniversary. Only 25,000 of the limited-edition passports are being released starting July 6, according to the State Department. Controversy around new passports The new commemorative passports have been shadowed by controversy after President Donald Trump unveiled a rendering of them in late
Jul 8, 2026 · via usatoday.com
Toppan adds to award collection for new color laser ID printing technology The Best New Passport of 2026 is Argentina’s ePassport, according to High Security Printing. The recognition follows the HSP Award for Best New Technology 2026, which Toppan Security won earlier this year for its Chroma ID printing technology, which is also used in Argentina’s ePassport. Toppan Security shared the credit for the Best New Passport award at High Security Printing Latin America with its local partner Ipesa in a recent LinkedIn post, and hailed the new passport as part of “a full transformation of Argentina’s national identity infrastructure.” Chroma is a new laser engraving technology that the company says eliminates the traditional trade-off between photo-realistic color and high resolution in portrait images, launched in late-2025. Toppan notes on its website that 90 percent of the passports currently in use still have black and white facial photos. The result of bringing full color directly to polycarbonate identity documents with Chroma is that they are fully ICAO-compliant and suitable for airport face biometrics checks, but also give border control officials a more detailed portrait image for visual comparisons. Argentina selected HID to design and print its new passports in 2018, and Toppan acquired HID in 2024. National identity authority RENAPER announced the redesigned passports in January of 2026. “A key engineering change is the introduction of polycarbonate as the datapage substrate, bringing the passport in line with contemporary international practice for high assurance ePassports,” HSP says in its announcement. The write-up notes the enhanced security features of Argentina’s passport, including optically variable features and layered resistance to photo substitution through the use of multiple images. The earlier award was specifically for Chroma, which according to HSP can reproduce up to 16.7 million colors and includes a “characteristic micro-line structure visible
Jul 8, 2026 · via biometricupdate.com
IDS Inbound receiving operations (aka goods-in) in the electronics industry are under increasing pressure. | ADVERTISEMENT | Countless components from a wide range of manufacturers arrive with constantly changing label layouts, multilingual markings, and ever shorter throughput times. What once could be managed manually has now become a bottleneck. Damaged barcodes or reflective packaging further increase effort and make processes more error-prone. The Vision AI Label Reader from collective mind (COMI) demonstrates how this complexity can be managed. The AI-based image processing system automates the capture and interpretation of item information in goods-in and logistics, regardless of layout, language, or code type. Designed for industrial use, the solution improves process reliability, enhances data quality, and streamlines workflows. A uEye CP industrial camera from IDS Imaging Development Systems provides the image data required for analysis. Fully automated capture instead of manual inspection The Vision AI Label Reader is designed for applications where myriad items, labels, and packaging are processed daily. This makes it particularly suitable for electronics manufacturing service providers as well as companies with complex logistics processes and extensive inventories. One concrete example is Rutronik Elektronische Bauelemente, a leading broad-line distributor of electronic components, where the system is already in successful operation. The goal is to automatically capture all relevant item information and make it available in a structured format. To achieve this, the system recognizes all labels on an object, reads both printed text and 1D and 2D codes, and then interprets the content using artificial intelligence. Handwritten entries can also be processed if required. Crucially, recognition doesn’t rely on predefined label standards. New layouts, languages, or code formats can be handled without retraining—a key factor for scalability and long-term viability. Camera and AI working together A central component of the solution is the industrial camera from the uEye
Jul 8, 2026 · via qualitydigest.com
Figures Abstract Industrial anomaly detection (IAD), aiming at automatically identifying abnormal patterns that deviate from the normal manufacturing process, plays a critical role in ensuring product quality and equipment safety for intelligent manufacturing systems. In this work, we delve into exploring the generalized and subtle-pattern awarded defect detection. We also propose a visual expert-guided multi-scale anomaly detection method. As the extracted regions often exhibit subtle and vague features that hamper the precise and reliable detection, we leverage the established super-resolution technique to enhance the spatial resolution and recover fine-grained details. It facilitates more discriminative defect representation and improves the model’s capacity at localize anomalies at finer scales. The multi-scale fusion module is constructed by the graph attention network. It aggregates the suspicious regions across different scales by modeling their inter-scale dependencies and contextual relationships. As it dynamically weights and localities those features, it preserves both the micro irregularities and macro structural deviations, hence offering comprehensive anomaly information. Extensive experiments under zero-shot and few-shot settings were conducted on several public datasets. The results demonstrate that the proposed method consistently outperforms existing mainstream approaches in both image-level and pixel-level anomaly detection, achieving pixel-level values of 98.6% and 98.1% under the 4-shot setting on two major benchmarks, and 94.6% under the zero-shot setting, with particularly strong capability in detecting subtle defects on fine-grained textures. It also exhibits enhanced robustness and generalization in cross-domain transfer scenarios. Citation: Zhu X, Cui W, Tao Y, Wang X (2026) Vision expert guided inspection for industrial anomaly detection. PLoS One 21(7): e0353291. https://doi.org/10.1371/journal.pone.0353291 Editor: Paulo Jorge Simões Coelho, Polytechnic Institute of Leiria: Instituto Politecnico de Leiria, PORTUGAL Received: January 30, 2026; Accepted: June 22, 2026; Published: July 8, 2026 Copyright: © 2026 Zhu et al. This is an open access article distributed under the terms of the Creative
Jul 8, 2026 · via journals.plos.org
Summary: Researchers have discovered that the fundamental building blocks of the human cortex are themselves uniquely powerful microchips. By utilizing artificial intelligence to measure the computational complexity of single cells, the team proved that a single human cortical neuron is not a simple switch, but an extraordinarily sophisticated computing device with processing capabilities equivalent to an entire multi-layered deep artificial neural network (ANN). Key Facts - The “Twin” Imitation Metric: To mathematically define a neuron’s processing power, the team developed a brilliant new framework. They task an advanced artificial neural network with learning and flawlessly reproducing the input/output functions of a single human cortical brain cell. The more computational layers the artificial “twin” requires to mimic the biological cell, the more complex that single neuron is. - The Dendritic Tree Advantage: The study revealed that human cortical neurons possess a massive computational advantage over other mammals, driven by their intensely dense, richly branching dendritic trees and highly specialized, unique electrical properties. - Single-Cell Pattern Recognition: Rather than needing a massive web of thousands of cells to execute basic discrimination tasks, the rich branching structure allows a single human cortical neuron to perform advanced computations independently—such as processing visual inputs to distinguish between completely different complex images (e.g., a cat versus a dog). - Challenging the Scale Theory: These findings directly challenge the long-standing scientific theory that human intelligence is simply a product of brain size and total cell count. Instead, human evolution prioritized the internal computational depth of the individual building blocks themselves. - A New Template for Neuromorphic AI: Today’s state-of-the-art machine learning models are built from highly simplified, uniform mathematical points. This study offers a general framework linking physical cell geometry to raw processing power, providing a blueprint for a revolutionary new generation of brain-inspired AI built from
Jul 8, 2026 · via neurosciencenews.com
Meta’s AI glasses have a growing reputation as a creepy technology. The company hopes to change that opinion by announcing an update that will disable the camera if the LED light that indicates the glasses are recording has been tampered with. The move is seemingly a concession to consumer sentiment that the glasses aren’t just fun, fashionable accessories, happily promoted by Kylie Jenner, but have serious implications for consumer privacy: They can be abused as surveillance devices. Yet, even as Meta touts the new safeguard this week, the company is also pushing products and features that ask users to surrender more of their privacy to the company. Whether that’s training its AI on your images, enabling AI features using your personal content unless you opt out, or exploring ways to continuously record or use biometric facial recognition, Meta’s vision of the future seems to always depend on collecting more of your personal data. In its blog post about the new camera safety feature, the company pats itself on the back, noting that “no other kind of camera has done this and we’re proud to lead the industry effort.” However, Meta also admits that the move was necessary because some people had been using tape to cover the LED light, which had already forced Meta to adapt its tech to disable recording when the LED is blocked. Determined, those same AI glasses creeps would then use “sophisticated efforts to modify or destroy the capture LED,” Meta’s announcement explains. In other words, Meta is confirming that some people who use AI glasses have hidden agendas — namely a desire to record situations or people (often women) without their consent. Despite this, the company is reportedly testing a prototype of AI glasses that would “continuously collect audio while taking photos every few seconds,”
Jul 8, 2026 · via techcrunch.com
Meta Is Disabling Cameras For Smart Glass Modders Who Tamper With The Privacy Light Smart glasses from Meta and Ray-Ban come equipped with a camera that can snap a photo or record video of anything the wearer is looking at. If it weren't for a privacy light that pulses brightly when the camera is in use, you might never know when a smart glass wearer is recording you without consent. But here's the kicker: hardware modders developed a mod for Meta Ray-Ban glasses that blocks the LED privacy light. The good news is that Meta has acted quickly to address this obvious problem. Meta has rolled out a mandatory update that disables the camera whenever the privacy light LED is blocked, tampered with, or broken. Additionally, Meta claims it is actively working to remove advertisements and listings promoting LED tampering services. Action is being taken against people or businesses who sell these services. This update is a win for privacy, albeit a small one. There are still other privacy concerns surrounding Meta smart glasses that make them a worrisome product for the general public. In February, it became known that Meta planned to add a facial recognition upgrade to smart glasses that would enable wearers to identify and look up information about people at a glance. Meta has since removed this face-recognition system from its smart glasses due to public outcry, but there's no guarantee it won't return. Has Meta learned its lesson regarding smart glass privacy? After modders exploited its cameras and its facial recognition technology was utterly rejected by the public, is Meta finally at a point where it will prioritize privacy in its smart glasses products? Meta claims that users are in full control of their own information, but it was only last month that the company
Jul 8, 2026 · via bgr.com
Buckinghamshire Council’s communities boss has hailed the use of live facial recognition cameras in the Eden Centre. Conservative cabinet member for communities, Steve Bowles, said he was “delighted” to support the initiative by Thames Valley Police, which deployed facial recognition vans at the centre in High Wycombe. He said the technology had “enjoyed success” during its two previous uses in the town. “Most notably, it includes the arrest of an individual who was outstanding for a number of years for violent offences,” Mr Bowles said. “Ultimately the purpose is to supplement officers’ ‘human’ recognition skills with that of technology, to assist us in reducing the number of outstanding offenders at large in our community.” Live Facial Recognition works by capturing images of faces and creating a biometric template from key features. This template is then compared to a watch list of individuals known to police, and if a potential match is found, officers are alerted in real-time. Thames Valley Police currently use two types of facial recognition technology. Live Facial Recognition is used for real-time identification, while Retrospective Facial Recognition is applied after an incident to match still images from CCTV or other sources against the Police National Database. The force does not currently use Operator Initiated Facial Recognition, which involves officers taking photos on mobile devices to be compared against a predetermined watch list to assist an officer in identifying the person. Thames Valley Police said that the use of facial recognition technology is carefully balanced with privacy, legal, and ethical considerations. The use of the technology however had not been welcomed by everyone, campaign groups such as Big Brother Watch strongly oppose the technology. It accused police forces and private companies of “quietly rolling out” the cameras, saying peoples ‘faceprints’ were being taking often without their own knowledge.
Jul 8, 2026 · via bucksfreepress.co.uk
Innovation AI used to help improve lung cancer biopsies July 8, 2026 TORONTO and HAMILTON, Ont. – For patients awaiting lung cancer staging results, delays carry real consequences. Staging, in other words, determining whether cancer has spread beyond the lung to nearby lymph nodes, shapes the entire treatment pathway: surgery, chemotherapy, radiation, or palliative care. The standard procedure for that determination is endobronchial ultrasound-guided transbronchial needle aspiration, or EBUS-TBNA, a minimally invasive technique that uses a flexible scope and ultrasound imaging to sample lymph nodes in the chest without open surgery. It is well-established, widely performed, and highly effective when performed by appropriately trained clinicians – though its diagnostic performance can vary. Published research has associated variability in EBUS-TBNA diagnostic outcomes with operator experience and procedural volume, among other factors. When results are inconclusive, patients return for repeat procedures, extending uncertainty in a disease where the speed and accuracy of cancer staging matters. Addressing that variability is a key research question at the centre of a new McMaster University led clinical trial now underway, with University Health Network’s Toronto General Hospital as a key site. The study aims to evaluate the impact of an AI-assisted intervention developed by Node AI on EBUS-TBNA performance. The case for AI assistance Node AI, a Hamilton-based medical AI company co-founded by thoracic surgeon Dr. Wael Hanna, AI scientist Dr. Anthony Gatti, and CEO Mackensey Bacon, has developed a real-time decision-support platform designed to assist clinicians performing EBUS-TBNA. The platform is designed to integrate into existing EBUS clinical workflows via a cloud-based interface, requiring no additional hardware and with the intention of supporting all major bronchoscope manufacturers, the specialized scopes used to navigate and image the airways during the procedure. During a biopsy, the AI is designed to analyze ultrasound video in real-time, with the
Jul 8, 2026 · via canhealth.com
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Jul 8, 2026 · via cureus.com
MELVILLE, NY, July 08, 2026 (GLOBE NEWSWIRE) -- Canon U.S.A., Inc., a leader in digital imaging solutions, today announced the launch of the new imageFORMULA R40II Office Document Scanner Receipt Edition. Building on the foundation of the previous iteration, the new scanner delivers an upgraded performance, a more compact design and enhanced image processing features to help support modern document capture needs by offering an integration with Intuit QuickBooks® Online*. Designed to support accountants, bookkeepers, and small or medium sized business owners with greater efficiency, the imageFORMULA R40II Receipt Edition is able to quickly convert paper documents into searchable digital files with the Optical Character Recognition feature. Users can upload and extract data from scanned receipts and invoices directly to Intuit QuickBooks® Online using the included CaptureOnTouch software. The imageFORMULA R40II Receipt Edition is designed to flexibly scan and convert a variety of document types including reports, contracts, photos, business cards, long documents, and more. The R40II Receipt Edition is designed to make receipt and document scanning quick and easy. Its compact size fits comfortably on a desk, and setup is simple with the included USB-C cable. With the touch of a button, users can scan receipts and documents at speeds of up to 45 pages per minute**. It scans both sides of a document in a single pass, while the automatic feeder holds up to 60 sheets which allows users to scan larger batches without having to feed pages one at a time. For added convenience, customizable shortcut buttons help automate routine tasks, which can make every day scanning even faster and easier. Pricing and Availability The imageFORMULA R40II Receipt Edition scanner is now available for purchase. For pricing and other details, please contact your authorized Canon partner or visit www.usa.canon.com. About Canon U.S.A. Inc. Canon U.S.A., Inc. is
Jul 8, 2026 · via markets.businessinsider.com
Meta said it has developed a tamper-detection feature for its AI-powered smart glasses to prevent users from secretly recording video of people around them. In an announcement highlighting frequently asked questions about the smart glasses, Meta responded to concerns about users developing ways to disable the device’s LED light, which indicates it is in record mode. Download the SAN app today to stay up-to-date with Unbiased. Straight Facts™. Point phone camera here Meta noted that its smart glasses already become unusable when attempts are made to cover the light, which turns on when recording is in progress to alert those nearby. But a workaround to disable the light was quickly developed last year, leading to a cottage industry of people who offer to remove the privacy-protecting feature for a fee. Now, Meta said it is aware of those using “sophisticated efforts to modify or destroy the capture LED.” “We are continuously improving our ability to detect tampering, and now we’re updating the glasses to disable the camera if they detect the LED was physically tampered with or destroyed,” the company said. “No other kind of camera has done this and we’re proud to lead the industry forward.” It remains unclear when the new feature will be introduced. But Alex Himmel, Meta’s vice president of wearables, told The Verge in June that new privacy safeguards would be included in an update in the coming weeks. Privacy concerns about smart glasses The feature comes amid a growing backlash against smart glasses, which have faced repeated controversies in recent months. Many of the controversies center on Meta’s efforts to introduce facial recognition capabilities into its smart glasses. An internal memo from May of last year, for example, revealed Meta’s plans to introduce facial recognition to its smart glasses at a time when it
Jul 8, 2026 · via san.com