The future’s so invasive, you gotta wear shades. As Meta and Ray-Ban push their Kylie Jenner-fronted smart glasses — the kind that can film your perspective walking down the street, Shazam a song playing next to you and (allegedly) recognize a stranger’s face in a crowd — a growing group of both New York eyewear brands and designers is barking back with sunglasses that block surveillance software and biometric data scans entirely. Translation? “We’re making a firewall for your face,” Nate Troxell, the general manager of Solir Optics, a Glen Falls, NY brand that’s been selling “anti-facial recognition” sunglasses ranging between $70 and $100 after receiving requests from customers, told The Post. While most sunglasses on the market are singularly obsessed with blocking UV rays, Troxell said his company set out to guard against a much wider — and much sneakier — spectrum of light, including infrared and blue light rays. The brand is also currently developing anti-surveillance lenses for prescription specs. Despite its embedded high tech, Troxell insists his line is more subdued than most would expect. “We wanted our designs to blend in,” he explained, noting that the original technology was developed for cannabis growers looking to block artificial light exposure in their greenhouses. “It’s not like you’re wearing spy glasses. You’re just wearing sunglasses that have a much deeper function.” Throw on a pair of these shades, and you’ll also be able to block the retinal scans that security cameras use to secretly ID people in casinos, concert halls, and even supermarkets like Wegmans. Kerin Rose Gold, a Gramercy-based designer, artist and owner of luxe eyewear brand A-Morir, has also started making anti-surveillance glasses. “I’m not a nefarious person,” Gold, whose brand created eyewear for stars like Lady Gaga and Rihanna, told The Post. “I’m not going
Jul 22, 2026 · via nypost.com
A Whangārei district councillor is calling for facial recognition cameras to be introduced in the city centre, arguing that the technology could help prevent crime. By Susan Botting of Local Democracy Reporting Business owner and Whangārei District councillor Paul Yovich made his call at a public meeting on Thursday, July 16. The meeting was attended by Justice Minister Paul Goldsmith, who outlined Government measures he said were helping to reduce crime and make cities such as Whangārei safer. Yovich said crime prevention in the city centre was often reactive rather than proactive, and facial recognition technology could help change that. Facial recognition technology could act as a powerful deterrent, discouraging those intent on committing crime from coming into town in the first place, Yovich said. And he believed it could have prevented some of the crime that had already happened. Whangārei city centre already has an extensive public CCTV network, with more than 200 cameras monitoring public spaces including the central business district and Town Basin. Yovich said facial recognition technology could build on that existing network. He said he would have no trouble walking around the city centre with the technology in use. 'Stopping crime from coming in the door' – Minister Goldsmith told the meeting facial recognition technology was already "making a huge difference" for Foodstuffs supermarkets. "It's stopping crime from coming in the door," Goldsmith said. He said facial recognition provided a huge opportunity. Existing legislation already allowed its use, provided deployment was carried out in consultation with the Privacy Commissioner. Goldsmith was involved in setting up a ministerial advisory group working on retail crime and considered options for enabling the use of facial recognition technology as part of that work. He said wider use of facial recognition cameras in city centre public spaces would be a
Jul 22, 2026 · via 1news.co.nz
‘We want people to know’: Police Chief explains reasoning behind Red Bay’s community meeting over flock cameras FRANKLIN CO., Ala. (WAFF) - One Franklin County community has placed a flock security camera up within city limits. Over the last few months, multiple cities nationwide have seen push back against flock cameras— citing concerns about misuse. Some cases even leading to criminal charges. Recently, one Franklin County department put them up, and some people aren’t too happy. Red Bay Police Chief Janna Jackson wants to set the record straight. That’s part of the reason why they’re holding a meeting on August 17th at 7 p.m. for the community: to educate. A new roadside pole has drawn the attention of residents in Red Bay. “We do have one camera in place and that’s on golden road,” Chief Jackson said. “That’s just south of hospital road. We are looking for another camera to be installed in the next few weeks.” Several residents have taken to social media calling for these flock cameras to be taken down. “Our device is a license recognition device only which means when a person in a vehicle passes by this device will take a picture of their tag,” Jackson explained. Red Bay Chief Janna Jackson says this isn’t new technology. In fact, businesses around Alabama use far more invasive programs. This camera is strictly for license plate recognition. “There’s no facial recognition on this device,” Jackson said. “It will not issue citations. This is a license plate reader only.” A lot of the push against the cameras is because of national stories where law enforcement has misused them. But that’s why Chief Jackson says there are safeguards in place to protect against that. “When we access the information, we have to do an access log and that information
Jul 22, 2026 · via wtva.com
Fighting AI With AI: CaraComp Launches Forensic-Grade Face Comparison Platform to Unmask Romance Scammers and Fake Online Profiles Fighting AI With AI: CaraComp Launches Forensic-Grade Face Comparison Platform to Unmask Romance Scammers and Fake Online Profiles Press Release Date 07-14-2026 Euclid Squared's CaraComp delivers match results in about five seconds and a court-ready forensic report no other face comparison service offers — giving fraud investigators, and anyone who's ever wondered "is this person real?", the same caliber of AI the scammers are using. CaraComp helps professionals compare two facial images using advanced AI to generate an accurate similarity score in seconds, making identification faster and more reliable for investigators, researchers, and security specialists. Learn more at https://caracomp.com Forest Hills, NEW YORK, July 14, 2026 (GLOBE NEWSWIRE) -- Euclid Squared Inc. today announced the full launch of CaraComp (www.caracomp.com), a forensic-grade AI face comparison tool that helps investigators and consumers verify whether two faces — in photos or video — belong to the same person, delivering match results in about five seconds along with a downloadable, court-ready forensic report. CaraComp court-ready forensic report: region-by-region similarity scoring, 3D facial topology, per-feature comparison, and a plain-language verdict — here a 97.0% face comparison "Strong Match." (Image: CaraComp / Euclid Squared Inc.) The launch lands in the middle of an unprecedented wave of AI-enabled deception. According to the U.S. Federal Trade Commission, consumers reported losing $1.16 billion to romance scams in just the first nine months of 2025 — up 22% from a year earlier — and generative AI has made convincing fake personas — stolen photos, face-swapped images, and AI-generated profile pictures — cheaper and easier to produce than ever. The tools to create fake faces went mainstream. Until now, the tools to expose them belonged to enterprises and governments. CaraComp changes that.
Jul 21, 2026 · via natlawreview.com
UNHCR looks to face biometrics as QR code standard advances Face biometrics are likely to play a growing role in the operations of the UNHCR, attendees of a workshop jointly held with the EAB heard Monday. The workshop, held alongside SC37 Working Group meetings in Copenhagen, Denmark, was sponsored by FaceTec, Biometric Solutions and Innovatrics. Evolving ISO standards help guide UNHCR’s decisions about biometrics, from the language used in procurements to the potential the draft ISO/IEC 59794-5 standard for facial images in QR codes. UNHCR moving into face biometrics UNHCR’s currently operational use of biometrics includes the IrisGuard system first deployed in the Middle East and the biometric information management system (BIMS). One or both of these systems are used in over 95 countries, according to Head of Biometrics and Interoperability Sam Jefferies. In addition to IrisGuard technology, UNHCR uses biometric devices from Integrated Biometrics, IriTech and Thales. UNHCR continually caches fingerprint biometrics for 30 seconds during the autocapture process, with data quality algorithms set at a threshold that starts high and drops over time to the lowest level the organization can accept. Dramatic cuts in funding to the UN refugee agency in 2025 mean that there are less staff registering people, while some tools are unfunded, including “Gateways,” Jefferies says. The organization must look to more online interactions to lower its costs. UNHCR’s biometric products roadmap reflects this need, including with a planned “Digital Gateway with face service.” The organization also plans to use face biometrics for periodic remote family verifications. The plan going forward also involves the inclusion of face biometrics on printed credentials and linked to verifiable credentials (VCs). Face may also be used for deduplication of humanitarian registries, and UNHCR wants to use biometrics to enable inclusion in national digital identity programs and digital public infrastructure,
Jul 21, 2026 · via biometricupdate.com
“In requiring that Apple show that a large-vocabulary model—rather than a smaller abbreviated model—would have fit on the integrated circuit in the prior art, the Board committed legal error.” – CAFC The U.S. Court of Appeals for the Federal Circuit (CAFC) on Tuesday vacated and remanded a decision for a patent owner against Apple, concluding that the Patent Trial and Appeal Board (PTAB) made several errors in finding the claims of the speech recognition patent at issue were not shown to be unpatentable. Zentian Ltd. owns U.S. Patent No. 10,839,789, which is titled “Speech recognition circuit and method.” Apple petitioned for inter partes review (IPR) of multiple claims of the patent, arguing in relevant part that “claim 1 was obvious over prior art reference U.S. Patent No. 5,819,222 (“Smyth”) or the combination of Smyth and U.S. Patent No. 6,832,194 (“Mozer”) and that claim 29 was obvious over Smyth, Mozer, and several other references.” The dispute centered on the “acoustic model memory” and “integrated circuit” limitations of claims 1 and 29. Both claims 1 and 29 require “a single integrated circuit.” Claim 1 requires that the integrated circuit contain both the claimed acoustic model memory and the claimed “calculating apparatus” (i.e., the processor that calculates distances between feature vectors and the states of the acoustic model).” While Apple argued that Smyth or the combination of Smyth and Mozer “disclosed the acoustic model memory on an integrated circuit with a calculating apparatus,” the PTAB ultimately determined that Apple had failed to show the claims unpatentable, largely due to the fact that the Board implicitly construed the claimed acoustic model memory “to require holding a large-vocabulary model.” The Board found Apple had failed to show Smyth alone disclosed the claimed acoustic model memory on an integrated circuit because the claimed processor, (the Motorola
Jul 21, 2026 · via ipwatchdog.com
Ish: Imran Perretta’s remarkably beautiful film captures the brutal challenges of adolescence A police stop-and-search creates a rupture in the friendship between two Luton teens in this memorable evocation of childhood’s end. You wonder whether Imran Perretta was thinking of Kes (1969) when he gave a three-letter name to his own film about a painful childhood. Ish might, to a degree, be categorised as British realism in the classic Loachian tradition – not least in its casting of young nonprofessionals. But in his first feature, director Perretta – co-writing here with playwright Enda Walsh – finds his own distinct approach to the contemporary multiracial British everyday. You could call Ish a coming-of-age story. But if that tag tends to suggest a completed process, this film depicts the start of a gradual change: coming of age as a fall from the grace of childhood, and an induction into the potentially brutal challenges of adolescence. The film’s opening section presents an image of boyhood as earthly paradise. Two boys, Ish and Maram, explore a wood near their Luton home, pick blackberries, build a play camp, revel in the nature that surrounds them: with the treetops swaying in Ish’s POV, it is a fragile utopia of dappled ruralism and of immediate connection, with the world and with each other. Perretta has cast two 12-year-olds, long-standing friends in reality; hence the brisk, seemingly telepathic energy to their interplay: Farhan Hasnat as the diminutive, wide-eyed Ish, Yahya Kitana as Palestinian-British Maram. The latter looks and acts older and tougher, speaking modern British patois with the sort of inflections and accent – an Asian-Caribbean-Cockney hybrid – that can’t easily be faked by actors. Maram wants to be a peer of the older boys in the neighbourhood, who for Ish are just that – older, a different
Jul 21, 2026 · via bfi.org.uk
BuzzFeed GamesOnly People With Elite Pattern Recognition Can Solve This Color Puzzle Called HuedokuHuedoku #70! A big round number — today’s puzzle is ready when you are. 🎨Posted 6 hours agocommentFacebookPinterestLinkby Crystal RoBuzzFeedBuzzFeed StaffHi, I’m Crystal, a Senior Editor based in Los Angeles and creator of BuzzFeed’s “That Got Dark” newsletter. Huedoku is a daily color puzzle with simple rules and a satisfying solve. It's like sudoku, but with colors instead of numbers. Sign up here to get notified every time we publish a new Huedoku! Come back tomorrow for Huedoku #71 — and share your score to challenge a friend! 🌈 🌈 New Huedoku drops every weekday at 4:00 a.m. PT / 7:00 a.m. ET. 🧩🗂️ Huedoku Archive — Every past puzzle, all in one place! Comments
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Jul 21, 2026 · via buzzfeed.com
Abstract Given the widespread societal discourse surrounding facial attractiveness, live-streaming e-commerce (LSE) operators have legitimate reasons to pay attention to viewers’ perceptions of anchors’ facial attractiveness. Drawing on impression formation theory and attention allocation theory, this study constructs a theoretical model to examine the effects of anchors’ perceived facial attractiveness on both monetary and non-monetary performance in LSE, while also investigating the moderating role of anchors’ body movements as subsequent dynamic visual cues. Empirical analysis based on structured and unstructured data from 1472 Douyin live-streaming sessions validates the proposed model. The results reveal an inverted U-shaped relationship between perceived facial attractiveness and monetary performance, and a significant positive relationship between perceived facial attractiveness and non-monetary performance. Moderation analysis indicates that body movements significantly moderate the inverted U-shaped relationship between facial attractiveness and monetary performance by shifting the turning point to the right. However, the positive effect of facial attractiveness on non-monetary performance remains unaffected by body movements. These findings suggest an asymmetric effect of anchors’ perceived facial attractiveness on the two types of performance: the effect on non-monetary performance is robust, whereas the effect on monetary performance is context-dependent. This study provides practical implications for anchor selection and marketing strategy optimization in the LSE context. Similar content being viewed by others Funding This article was supported by the “Double First-Class” Philosophical and Social Science Discipline Clusters Construction Project of Chengdu University of Technology in 2025 for Interdisciplinary Innovation Teams[25JCXK04]. Author information Authors and Affiliations Corresponding author Ethics declarations Competing interests The authors declare no competing interests. Ethical approval The authors sought and obtained ethical approval from the Research and Publication Committee of the School of Business Administration, Southwestern University of Finance and Economics. The Committee confirmed that the study complied with relevant ethical standards. No approval number was attached to
Jul 21, 2026 · via nature.com
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Jul 21, 2026 · via youtube.com
AI in Policing: Benefits, Risks, and Real-World Use Cases AI in policing is a complex and ever-evolving topic. Read up on risks, benefits, and how this tech is being used in real-world scenarios on Rev’s blog. In August 2025, an AI-powered drone surveyed 452 acres of steep, inaccessible terrain in Italy’s Cottian Alps. Within hours, it had analyzed more than 2,600 images and flagged a single red helmet—the clue that led rescue teams to a mountaineer missing for nearly a year. Repeated ground searches had come up empty, and humans would have needed weeks to comb the same terrain. The AI did it in an afternoon. That’s the power of using AI in policing and public safety. This tech can process evidence faster, find what humans miss, and give investigators more time to focus on tasks that require human judgement. However, it’s far from perfect. AI has also created serious legal challenges, documented wrongful arrests, and a growing debate about oversight, bias, and civil liberties. The reality of AI in law enforcement sits somewhere in between a miracle and a catastrophe. Bottom line: it’s complicated, evolving fast, and worth understanding in full. How Police Departments Use AI Now Police departments across the country have been implementing AI for quite some time now, and according to the data, the usage is only expected to grow over the next few years. In the U.S., the surveillance and law enforcement AI market is estimated to grow from its current size of $1.32 billion to over $34.72 billion by 2035. The speed at which AI adoption happens is in direct correlation to a real-world problem: law enforcement agencies are understaffed and overwhelmed with digital evidence. 68% of investigators say the time required to review all the digital evidence they collect is preventing cases from
Jul 21, 2026 · via rev.com
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Jul 21, 2026 · via dailymotion.com
AI Projects with Raspberry Pi — out now! Artificial intelligence (AI) isn’t just a data centre humming away inside a gigantic warehouse. It is also the single-board computer sitting on your desk, wired up to your smart home equipment, running models locally, securely, and privately. This is the spirit behind our latest book: AI Projects with Raspberry Pi. This is a hands-on guide to discovering real-world AI applications with Raspberry Pi hardware. These aren’t toy demos, but rather projects you can build, run, and point to and say, “I made that”. Program it right and you might even get a spoken reply. What’s inside The book covers a broad range of AI applications, all of them running on a Raspberry Pi: - Computer vision — recognise and classify what’s in front of a camera or inside files. We cover both image recognition and video recognition. - Python and predictive modelling — work with the regression-style workhorses behind most practical data science. - Speech to text (and vice versa) — convert speech to text, generate speech from text, and use spoken commands to control local devices. - Linguistics — perform audio transcription, language translation, and processing. - Sensor data — gather sensor data on a Raspberry Pi Pico. Use Python to train a machine learning model on your Raspberry Pi, then deploy the model on the Raspberry Pi Pico, where you’ll perform real-time inference. - Large language models — run genuine LLMs locally on Raspberry Pi hardware and the Raspberry Pi AI HAT+ 2 accelerator. Run chatbot-style services securely, privately, and locally at the edge. - Image generation — use Stable Diffusion techniques to generate images with Raspberry Pi hardware. - Model training — discover how models are trained with test and training data. Slice and dice MobileNet and retrain it
Jul 21, 2026 · via raspberrypi.com
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Jul 21, 2026 · via facebook.com
Srinagar, Jul 21: A UAPA accused was apprehended after he was flagged by the facial recognition system deployed for the ongoing annual Amarnath yatra in Anantnag district in Jammu and Kashmir, police said on Tuesday.
As part of the intensified security arrangements for the yatra, earlier, the police, with the assistance of FRS, apprehended an Over Ground Worker (OGW) on July 11 and three others on July 8.
He said the individual was identified as Danish Amin Reshi, a resident of Veersaran.
During verification, the FRS generated an alert indicating his involvement in a previous criminal case, the spokesman said.
Upon further verification, it was found that Reshi is involved in a case registered under the Unlawful Activities (Prevention) Act (UAPA) at Police Station Pahalgam, the spokesman added.
The accused was immediately taken into custody for further legal proceedings in accordance with the law, he said.
Anantnag Police continues to employ advanced technological tools, including the FRS, as part of the multi-layered security grid established for the yatra.
Jul 21, 2026 · via greaterkashmir.com
SINGAPORE, July 21, 2026 /PRNewswire/ -- Planning a holiday can be exciting, but arriving at a destination often brings a different reality. An unfamiliar language, endless menus you don't understand, complicated train systems and long queues at attractions can quickly turn travel excitement into travel stress. Travellers are no longer just looking for places to stay and flights to book. Increasingly, they want smarter tools that help them navigate the moments in between. Trip.com removes these barriers through a range of tech-savvy tools and destination services designed to make travelling easier, faster, and more intuitive - many of them powered by TripGenie, Trip.com's in-app AI travel assistant. Too many choices? Let AI do the planning Researching destinations, opening endless browser tabs and trying to fit everything into a schedule can quickly become overwhelming. Trip.Planner helps travellers create personalised itineraries based on travel style, trip duration and preferences, helping users spend less time organising and more time enjoying the journey. Whether travelling solo, with a family or with friends, Trip.Planner can help turn inspiration into a practical travel plan in seconds. Unsure what to order? Let the menu speak your language Ordering food abroad can sometimes feel like a leap of faith. Multiple restaurant menus in different languages can be difficult to decipher, and travellers may miss local specialities simply because they do not know what they are. TripGenie's Menu Assistant tool helps travellers scan menus and understand dishes instantly, making it easier to discover local flavours and order with confidence. Turn conversations into connections Some of the most memorable travel moments happen through interactions with local people, whether it is chatting with a market vendor, asking a local for recommendations, or learning more about a destination from someone who calls it home. But language barriers can limit those experiences. TripGenie's
Jul 21, 2026 · via prnewswire.co.uk
Researchers from Hebei GEO University and Shijiazhuang Tiedao University in China have developed a flexible optoelectronic memristor based on a composite of graphene oxide (GO) and perovskite quantum dots, designed to sense and process images in dimly lit conditions. Memristors are seen as a key building block for flexible neuromorphic vision systems. Because they can rapidly tune their resistance in response to optoelectronic inputs, they emulate the way biological synapses adjust signal weights - the behavior needed for artificial retina-like sensors that sense and compute in the same place, rather than shuttling data to a separate processor. The team, led by Jingjuan Wang and Lingzhi Tang of Hebei GEO University's College of Information Engineering, combined GO sheets with perovskite quantum dots to create a switching layer whose behavior changes markedly between dark and illuminated conditions. Under dim illumination, the memristor's conductance range expands, which lets the device filter noise more effectively and, in practice, amplify faint optical signals. Fed low-contrast images, the device outputs clean silhouettes and enables feature extraction for object recognition in low light. According to the researchers, this device-level tuning carries straight through to system performance: for noisy, low-light images, recognition accuracy improves by more than 10%, the signal-to-noise ratio doubles, and foreground and background signals separate cleanly - all handled locally on the flexible sensor itself, with no additional circuitry required. The graphene oxide component is central to the device's mechanical durability as well as its electrical behavior. The composite proved highly flexible in testing, continuing to operate reliably after thousands of bending cycles, and its resistance to cracking under deformation makes it a candidate for wearable use - including attachment to curved skin to pick up weak ambient light signals. Looking ahead, the team plans to pair its flexible memristor arrays with low-power circuits to
Jul 21, 2026 · via graphene-info.com
A flexible material for low-light artificial visual perception DOI: 10.1063/10.0044497 Memristors are a key component for developing flexible neuromorphic visual systems. Their ability to quickly tune their resistance based on optoelectronic inputs mimics biological signal weight adjustment, essential for artificial retina-like visual sensors. By creating a composite material of perovskite quantum dots and graphene oxide, Yue et al. demonstrated a memristor with excellent promise as a next-generation flexible neuromorphic system. Their material behaves differently in dark and lit conditions. Under dim illumination, the memristor’s conductance range expands, allowing it to better filter noise and, in effect, amplify faint signals. By processing these low-contrast images, the material outputs clear silhouettes and allows features to be extracted for low-light object recognition. “This device-level tuning translates directly to advanced neuromorphic vision performance,” said author Jingjuan Wang. “For noisy, low-light images, recognition accuracy rises over 10%, signal-to-noise ratio doubles, and foreground/background signals are easily separated — all processed locally on the flexible sensor without extra circuits.” Moreover, the authors’ quantum dot/graphene oxide memristor is flexible. In tests, it continued to work reliably after thousands of bends. Because it resists cracking under deformation, it lends itself well to wearable applications; it can be attached to curved skin to capture weak, ambient light signals. To extend the work into real-time image classification, the researchers are planning to combine their flexible memristor arrays with low-power circuits and add polarization and wavelength-specific responses to mimic human color vision. Source: “Flexible optoelectronic memristor with photo-enhanced resistive switching for low-light visual perception,” by Ziwei Yue, Siyu Zhao, Yuchun Li, Lingzhi Tang, Shuxia Ren, and Jingjuan Wang, Applied Physics Letters (2026). The article can be accessed at https://doi.org/10.1063/5.0339447
Jul 21, 2026 · via aip.org
Marine debris management is entering a new phase of data-driven applications. Converting years of accumulated coastal imagery into actionable tools for surveying, identification, and monitoring has emerged as a critical challenge in the digitalization of ocean governance. Under the guidance of Taiwan's Ocean Affairs Council (OAC), the National Academy of Marine Research (NAMR) is hosting the "2026 International Marine Debris Image Recognition AI Challenge." Featuring a dataset of over 20,000 real-world marine debris images, the competition invites AI, data science, computer vision, and marine science teams from Taiwan and abroad to participate. The competition is supported by Amazon Web Services (AWS) as the AI technology partner, with model evaluation and competition operations managed through the Industrial Technology Research Institute's (ITRI) AIdea AI Co-Creation Platform. Registration is now open. NAMR sets the challenge: bringing AI to the frontlines of ocean governance Marine debris has long been a fundamental issue in coastal environmental governance - and one of the most difficult to address in the field. Coastal debris is diverse in type, scattered in distribution, and frequently degraded by sun exposure, seawater erosion, sand burial, and physical damage, making manual surveys and image interpretation highly labor- and time-intensive. To accelerate digital transformation, NAMR has established MDImageNet, an AI-Ready marine debris image dataset covering the ICC19+1, NAMR26+1, and NAMR33+1 marine debris category schemes. The competition draws on NAMR's existing marine debris image dataset, comprising over 20,000 images annotated with YOLO-format bounding boxes. The dataset covers common coastal waste categories including plastic litter, fishing-related debris, and other anthropogenic waste. A "post-mapping" strategy is adopted: participants first train models using the original class labels provided, then map predictions into 20 official recognition categories during inference, with final scoring based on 19+1 primary marine debris target classes. The competition design confronts teams with the real-world constraints
Jul 21, 2026 · via digitimes.com
Smarter AI Tools. Smoother Operations. IRVINE, Calif., July 20, 2026 /PRNewswire/ -- Ecotrak, a leading provider of AI-powered facility and asset management software, today announced the launch of its expanded AI capabilities suite, including the industry's first Claude Connector integration and a ChatGPT-powered AI Troubleshooting experience. The new features bring intelligent, conversational AI directly into the workflows facility teams already use every day. When it comes to facilities management, staying ahead is everything. Ecotrak AI helps teams predict issues, automate repetitive work, and make better decisions by putting intelligent insights directly into daily workflows, without adding another tool to the stack. AI should work where your team already works. Ecotrak AI is embedded directly into existing workflows, helping facility teams find answers, automate tasks, and make better decisions without ever leaving the platform. Whether accessing AI insights on a work order, invoice, proposal, or service request, the intelligence is right where teams need it. From predictive maintenance and intelligent troubleshooting to proposal benchmarking and image recognition, Ecotrak AI transforms everyday operational data into actionable insights, surfacing repair history, spending patterns, asset performance, and vendor benchmarks automatically so nothing slips through the cracks. The best maintenance issues are the ones that never happen. Ecotrak AI identifies risks early, forecasts costs, and surfaces opportunities to save time and money so teams can stay ahead instead of playing catch-up. Predictive Intelligence analyzes maintenance history and asset data to flag likely failures before they become emergencies. Claude Connector: Get Answers and Take Action Instantly Ecotrak now connects with Claude, Anthropic's AI assistant. The Claude Connector brings Ecotrak's operational data, work orders, assets, locations and service providers, directly into a conversational AI interface. Facility teams can search assets, look up work order history, find the right service provider for a specific problem, or create a
Jul 21, 2026 · via prnewswire.com