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Jun 16, 2026 · via tampabay.com
Most AI demos today can talk really well, but they can't actually do anything useful. In this project, we're going to change that by building a voice-controlled AI assistant using the open-source XiaoZhi AI project and the feature-packed DFRobot ESP32-S3 AI Camera. What results isn't just a chatbot—it's a real, functional AI companion that can see its surroundings, control hardware, and even manage your calendar. This assistant lets you turn lights on and off, fetch sensor data, take photos on command, and conduct real visual recognition conversations. The best part? The entire project is open source under the MIT license, meaning you can use it for free, even in commercial applications. If you're ready to build an AI that's actually useful, read on. Get PCBs for Your Projects ManufacturedYou must check out PCBWAY for ordering PCBs online for cheap! You get 10 good-quality PCBs manufactured and shipped to your doorstep for cheap. You will also get a discount on shipping on your first order. Upload your Gerber files onto PCBWAY to get them manufactured with good quality and quick turnaround time. PCBWay now could provide a complete product solution, from design to enclosure production. Check out their online Gerber viewer function. With reward points, you can get free stuff from their gift shop. Also, check out this useful blog on PCBWay Plugin for KiCad from here. Using this plugin, you can directly order PCBs in just one click after completing your design in KiCad. What You'll NeedHardware- 1 × DFRobot ESP32-S3 AI Camera – This is the star of the show. It comes with an onboard microphone, speaker, camera, and ample processing power. - 1 × Type-C USB cable – For power and programming. - XiaoZhi AI Firmware – The core open-source ESP32 chatbot project. - ESP-IDF or pre-built firmware
Jun 16, 2026 · via hackster.io
Smart Glasses: Meta allegedly tested facial recognition from Pentagon supplier Meta tested facial recognition for smart glasses using tech from a US provider close to authorities. Traces found in Meta AI app. Meta is said to have relied on technology from a US company that primarily supplies the military, intelligence agencies, and law enforcement agencies for the development of a possible facial recognition feature for its smart glasses. This is according to a software license from the company Rank One Computing (ROC) that Techmagazin Wired has obtained and is said to be linked to a test version of the Meta AI app. The Meta AI app is required for setting up and for central functions of the Ray-Ban Meta glasses and other smart glasses from the company. Wired already reported in early June about inactive program code for a facial recognition function developed by Meta in the Meta AI app. Shortly after the report was published, Meta largely removed the code, internally called “Nametag”, via an update. Videos by heise Traces of external facial recognition systems According to the new Wired report, the software license acquired by Meta includes not only ROC's facial recognition but also a function that checks whether a camera is capturing a live person, a photo, or a mask. The license is said to support up to ten million facial templates. Wired found traces of the software in a version of the Meta AI app that was reportedly distributed to users in June. This included components for checking the license and starting the software. However, these functions were not activated, just like Meta's own facial recognition software. Rank One Computing is a Denver-based company that develops facial recognition technology and generates most of its revenue from government clients. It was founded in 2015 by engineers who
Jun 16, 2026 · via heise.de
- Researchers at the University of Cambridge recently developed the world’s first vaccine designed by artificial intelligence (AI) and successfully tested it in humans. - The vaccine was created to protect against viruses in the sarbecovirus family, including both SARS and SARS-CoV-2, the virus that causes COVID. - Medical News Today spoke with a virologist and an AI scientist to discuss vaccine safety and effectiveness, and how AI can help scientists develop universal vaccines. The world’s first human vaccine designed by artificial intelligence (AI) and developed by scientists at the University of Cambridge has passed its initial testing successfully and is currently undergoing further testing. What makes this vaccine different from traditional vaccines is that, instead of being developed in response to current strains, it uses a predictive design. To achieve that, scientists used AI to analyze multiple coronaviruses to create a “super antigen“. With this super antigen, they were able to target the common features of viruses in the coronavirus family and, in a sense, future-proof the vaccine against current and future coronavirus mutations. The vaccine also has a needle-free design, using a specialized jet injector via the PharmaJet Tropis system. Rather than piercing the skin with a traditional metal syringe, it uses fluid dynamics to deliver the vaccine ingredients exactly where they need to go. However, the technology remains highly experimental, and the first human trial included only 39 people. The results of the trial were published in the Journal of Infection. To decipher what this trial means for the future of vaccine development and how this technology works, Medical News Today spoke to two experts who were not involved in the research: - Monica Gandhi, MD, MPH, an infectious disease specialist and professor of medicine at the University of California, San Francisco, - and Marc Boubnovski, senior
Jun 16, 2026 · via medicalnewstoday.com
In January 2020, a Finnish Reddit user posted a photo of curtains printed with eight celebrity faces and asked for help identifying them. Seven were quickly matched — Josh Holloway, Jessica Alba, Orlando Bloom, and others prominent in the mid-2000s. The sixth face, dubbed Celebrity Number Six, resisted identification for four years. A dedicated subreddit pursued hundreds of leads. Members contacted the fabric supplier (Látky Mráz in the Czech Republic, who wouldn't name the designer), reviewed a decade of Getty Images photos, compiled spreadsheets, and tried every form of reverse image searching. Even the gender of Number Six was disputed. One user reviewed "all photographs on Getty Images between 1998 and 2007" that shared a photographer with any of the known matches. In 2024, a Redditor colored in the image and ran it through the facial recognition tool PimEyes, which returned Spanish model Leticia Sardá as a likely match. Another user contacted the photographer, Leandre Escorsell, who confirmed he'd taken the original photo in 2006 for a Spanish magazine — an image that had "never appeared on the Internet." He was surprised anyone had found it. Sardá, who had quit modeling in 2009 and was working as a waitress, told the New York Times, "he tried to explain, but I didn't realize it was going to be so big." She has since resumed modeling.
Jun 16, 2026 · via boingboing.net
Meta uses your public Facebook posts for AI search Meta is now using public posts from across its social platforms to power AI-generated search results on Facebook. The search option, AI Mode, appears alongside standard search filters and generates responses drawn from publicly shared content, according to The Verge. The move is part of a broader rollout of Meta's Muse Spark model, which launched in April — the fruit of an internal AI reorganization that the company's CTO recently called "atrocious." You May Also Like Muse Spark, the first AI model to come out of Meta Superintelligence Labs, was designed with everyday personal use in mind — health, shopping, visual understanding, and social content. Meta says the model will eventually pull its recommendations from across the company's empire of social apps: Instagram, Facebook, and Threads. The approach mirrors what Google has done with Reddit threads in its AI Overviews. The main difference is that Meta is leaning on its own ecosystem of user-generated content. Users can also ask Muse Spark follow-up questions based on the results it generates. The privacy implications, however, are worth watching. Meta says the feature relies on content people have already chosen to share publicly. Unmentioned was the fact that those users may not know a "public post" is being used to train a commercial AI product. Muse Spark is available now at meta.ai and in the Meta AI app. The company says a more advanced reasoning mode called Contemplating is in the works, but it has no confirmed release date. Topics Artificial Intelligence Meta Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way. He has a Master's in Journalism from the University of North Texas and is a proud orange cat
Jun 16, 2026 · via mashable.com
BuzzFeed GamesCan You Crack Today’s Color Puzzle?Huedoku #45! It’s Tuesday — warm up those color receptors. 🎨🔥Posted 20 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 #46 — 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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Jun 16, 2026 · via buzzfeed.com
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Jun 16, 2026 · via youtube.com
Snap defies investor pressure with ‘Specs’ smart glasses launch
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Jun 16, 2026 · via ft.com
greenbutterfly - stock.adobe.com Scottish minister clarifies police facial-recognition approach The Scottish government has confirmed its intention to ensure police use of facial recognition is lawful before deployments start taking place, unlike in England and Wales where the technology has been rolled out in a ‘legal vacuum’ without any formal scrutiny or debate Scotland will ensure that any police use of facial recognition technology is “lawful, effective, proportionate and grounded in respect for human rights,” according to the Scottish justice secretary. Writing to Scottish biometrics commissioner Brian Plastow – who urged the Scottish government in late May 2026 to introduce primary legislation for the police use of live facial-recognition (LFR) technology – Neil Gray, the cabinet secretary for justice, said the Scottish government will actively be monitoring how Westminster approaches the development of a new legal framework for the use of biometrics in law enforcement. Gray also said that while Scottish policing bodies are at least two years away from having a workable business case for the technology, he has taken note of Plastow’s “view that the introduction of primary legislation to Parliament would represent the optimal approach to establishing a statutory basis and enabling framework for the limited and proportionate use of LFR by Police Scotland”. Gray added although it would be “premature” for the Scottish government to commit to primary legislation on LFR given these circumstances, it stands ready to work with Plastow and others to ensure that any use of the technology is “lawful, effective, proportionate and grounded in respect for human rights”. He further added that any draft legislation for police biometrics published in England and Wales will be “carefully assessed” by the Scottish government for both its applicability and implications. The clarification on how Scotland will approach police LFR follows the Kings Speech in mid-May 2026,
Jun 16, 2026 · via computerweekly.com
The National Medical Insurance Imaging AI Recognition Competition Organizing Committee 16.6.2026 17:40:01 CEST | Globenewswire | Press release China's National Medical Imaging AI Contest Extends Innovation Invitation to ASEAN China's National Medical Imaging AI Contest Extends Innovation Invitation to ASEAN NANNING, China, June 17, 2026 (GLOBE NEWSWIRE) -- According to the National Medical Insurance Imaging AI Recognition Competition Organizing Committee, following the successful seminar held in Malaysia this May, the China Medical Insurance Imaging AI Recognition Competition arrived in Vietnam on June 10, facilitating in-depth exchanges with Vietnamese government authorities including health, social security and science and technology departments, as well as local medical institutions and enterprises. A Media Snippet accompanying this announcement is available by clicking on this link. Launched in China, a global hub for AI innovation, the contest ( https://ybystds.ybj.gxzf.gov.cn ) is the country's first national-level professional competition focused on "AI+image recognition." Jointly hosted by China's National Healthcare Security Administration and the People's Government of Guangxi Zhuang Autonomous Region, the contest is extending an invitation to teams worldwide for participation and exchange, backed by strong technical support and assistance for participation, application and commercialization of results. Guangxi borders ASEAN countries, and the China-ASEAN Expo is held annually in Nanning, the regional capital. The contest will take place in Guangxi from August to October 2026. It features eight professional tracks covering diagnostic scenarios for diseases including lung cancer, breast cancer, glioma, kidney cancer and thyroid cancer, and involves multimodal medical imaging such as CT, MRI, CTA, X-ray and ultrasound. Designed based on real clinical pathway data, the contest highlights the clinical feasibility and practical value of AI solutions. For each track, the organizers will provide medical imaging datasets reviewed and annotated by teams of medical experts. The datasets include both positive and negative cases and will be used
Jun 16, 2026 · via via.ritzau.dk
Trump Administration Hijacks Police Grants to Leverage Local Police For Its Authoritarian Ends Subscribe to the Free Future Newsletter Free Future home The Trump Administration has a nightmarishly authoritarian vision of what law enforcement should look like. In Memphis, for example, thousands of federal, state, and local law enforcement agents have invaded the city’s streets this year at the invitation of Tennessee’s Trump-supporting governor. Working as part of a 31-agency task force, they have carried out aggressive patrols, mass traffic stops, and large-scale immigration arrests, terrorizing local communities. Agents have engaged in such behaviors as tackling and arresting people for exercising their constitutional right to film the police, swerving at observers with their vehicles, following and photographing them, and otherwise intimidating them (All this is detailed in a lawsuit filed by my ACLU colleagues and in dismaying first-hand accounts of this behavior by victims.) This is a model that the Trump Administration would apparently like to spread to other cities, especially communities of color: flooding neighborhoods with aggressive, repressive, and frequently lawless agents and officers, blanketing communities with surveillance, and generally seeking to turn state and local police agencies into instruments of Trump’s federal government — its ideological obsessions, racism, and approach of loyalty over law. Last week, the Justice Department announced a “Model Cities Initiative” — a nearly $300 million grants program that “leverages technology, data, and partnerships to address drivers of crime” and “will provide substantial, targeted funding to select cities to realize this vision.” The money would be concentrated in 2-4 hand-picked cities to, in the DOJ’s ominous words, “transform public safety.” Presumably as a “model” to eventually spread further. It would be more accurately labeled "nightmare cities." A DOJ information sheet on the program starts with an outright falsehood: “In cities across America, violent crime and
Jun 16, 2026 · via aclu.org
- Canada - / - Aerospace & Defense - / - CNSX:SPAI SPARC AI Adds Image Recognition to Overwatch Following Successful Long-Range Target Test Key Points - SPARC AI has successfully completed a 43km target acquisition demonstration over open water while expanding the capabilities of its Overwatch software platform. - The company has integrated image recognition into Overwatch and outlined plans for future multi-drone swarm operations across different manufacturers. - The Simply Wall St community narrative estimates a fair value of approximately CA$5.25 per share , implying around 72% upside if commercialization and deployment assumptions are achieved. - The latest technical progress may strengthen the investment thesis, but commercial adoption and conversion of evaluations into recurring deployments remain key milestones. Overwatch Demonstration Extends Long-Range Targeting Capabilities SPARC AI has announced the successful completion of a 43-kilometre target acquisition demonstration over Port Phillip Bay in Australia while simultaneously expanding the capabilities of its Overwatch drone software platform. The test was conducted from a drone flying approximately 115 metres above ground level and demonstrated long-range target recording over open water. The company also introduced image recognition functionality into the Overwatch controller application, allowing detected targets to be visually identified and shared across multiple operators through a unified operating map. Management believes the combined capability improves collaboration and situational awareness for defence operators working in GPS-denied environments. Software-Driven Intelligence Expands Beyond Navigation The latest update builds on Overwatch's positioning as a software platform rather than a hardware solution. Instead of relying on expensive sensors integrated into individual drones, Overwatch is designed to aggregate information from multiple drones operating across different manufacturers and locations into a shared operating environment. The addition of image recognition potentially expands the platform beyond navigation and positioning into target identification and collaborative mission planning. The company also indicated that
Jun 16, 2026 · via simplywall.st
Abstract Nighttime urban waterlogging detection remains challenging because weak illumination, glare, and water-surface reflections often obscure the boundaries and features of waterlogged road regions. In addition, the limited availability of annotated nighttime samples restricts the generalization ability of data-driven models. To address these issues, this study develops a vision-based edge intelligence framework for nighttime urban waterlogging detection and segmentation. A diffusion-based augmentation strategy is first used to expand nighttime urban waterlogging samples. Then, a lightweight instance segmentation model, named Nocturnal-YOLOv11, is constructed by embedding an adaptive low-light enhancement module into the YOLOv11 framework. The model is further converted, quantized, and deployed on the RDK X3 edge computing platform using an INT8 inference scheme. Experiments on an independent real nighttime test set demonstrate that the proposed method improves low-light visual perception of waterlogged areas under weak illumination and reflective conditions while maintaining real-time edge inference capability. These results indicate its potential for practical nighttime waterlogging perception, urban water management, and emergency response applications. Data Availability The data that support the findings of this study are available from the corresponding author upon reasonable request. References - Anik MSBM, An C, Li SS (2025) Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: A literature review. Environm Syst Res 14(15). https://doi.org/10.1186/s40068-025-00409-3 - Arshad B, Ogie R, Barthelemy J et al (2019) Computer vision and IoT-based sensors in flood monitoring and mapping: A systematic review. Sensors 19(22):5012. https://doi.org/10.3390/s19225012 - Baller SP, Jindal A, Chadha M et al (2021) Deepedgebench: Benchmarking deep neural networks on edge devices. In: Proceedings of the 2021 IEEE international conference on cloud engineering, pp 20–30. https://doi.org/10.1109/IC2E52221.2021.00016 - Feng H, Mu G, Zhong S et al (2022) Benchmark analysis of yolo performance on edge intelligence devices. Cryptography 6(2):16. https://doi.org/10.3390/cryptography6020016 - Guo C, Li C, Guo J
Jun 16, 2026 · via link.springer.com
Facebook and Instagram parent company Meta has entered an agreement with Rank One Computing, a firm whose facial recognition software is used by the U.S. Marshals Service and other government agencies and police departments, Wired reports. Wired's report finds Meta has a software license to test Rank One's face recognition and "liveness" detection, which verifies if a camera is viewing a mask or photo instead of a real face. Dormant remnants of Rank One's software were in a version of Meta's AI app, that recently shipped to customers, according to Wired. The app is the companion software to Meta's smart glasses. According to public filings, Rank One's client list also includes the U.S. Department of War — the Trump administration's preferred name for the Department of Defense, which is still pending Congressional approval — and the U.S. Drug Enforcement Administration. Rank One did not reply to a request for comment Monday. In response to an email request for comment, Meta spokesperson Dina El-Kassaby Luce sent an identical statement to one a different Meta spokesperson emailed last week when Yahoo Tech inquired about a previous Wired story. That story looked at whether Meta was testing a facial recognition program called NameTag, which Wired found had been added to its Meta AI mobile app, but was not enabled. According to Wired, if activated the tech could create biometric "faceprints" for faces captured by the camera in Meta's smart glasses. Meta told the New York Times earlier this year it was still "thinking through" how it would use facial recognition technology. Meta deleted the dormant NameTag code from the app a day after Wired's report. After we pointed out to El-Kassaby Luce that the statements were identical, she emailed a second "correct, updated" statement: "What we've been saying for many months remains true
Jun 16, 2026 · via tech.yahoo.com
Residents question city leaders about license plate recognition cameras AGAWAM, Mass. (WGGB/WSHM) - An Agawam City Council meeting drew strong opinions Monday night as neighbors and councilors pressed police about license plate recognition cameras. Residents showed up to voice privacy concerns while others spoke in support of the Flock cameras as a tool for police. Police also used the meeting as a chance to answer questions about what the camera do and don’t do. “What I really hope is that residents and our councilors have an open mind, listen to the questions and the answers and decide what’s best for Agawam,” said Agawam City Council President Anthony Russo. In the city, questions have been growing for weeks: Who’s being recorded? Who can search the data? What rules are in place when it comes to license plate recognition cameras? Monday, Agawam police faced city councilors and residents looking for answers. “Flock doesn’t video record people driving in their vehicles, it doesn’t record people on their bicycles,” said Police Chief Eric Gillis. “It takes still images of vehicles that are passing by and a image of the plate, that’s it. It’s not audio recording everybody, it’s not tracking everybody, we’re not tracking everybody.” Here’s how it works: The camera take still photos of passing vehicles, capture the license plate and use software to read it along with details like the car’s color, make and model. Those reads are stored in a searchable database so police can look up a specific plate or vehicle description and see when and where it was seen. Departments can set rules for who has access, what can be searched, missing persons and investigations where supporters say that benefit outweighs privacy concerns. “If someone in your family was the victim of a crime, wouldn’t you want our police
Jun 16, 2026 · via westernmassnews.com
Meta has once again denied that it has concrete plans about adding facial recognition elements into its AI glasses, as another report suggested that the company has been working with facial ID providers on a possible new feature to assist in user connection through the device. According to a new report from Wired, Meta has been in talks with facial recognition software developer Rank One regarding a possible face ID element within Meta AI glasses. Wired reported that Rank One’s board includes both a former CIA deputy director and a former FBI science chief. Through this connection the company could theoretically gain access to a whole new facial recognition network powered by Meta’s AI glasses and unleashed on an unwitting public. Meta criticized Wired’s reporting, with Meta’s spokesperson Andy Stone saying on X that Wired had neglected to include the company’s statement. As per Stone, that statement read: "What we've been saying for many months remains true and unchanged: we're exploring these types of features as people regularly express interest in seeing them. Nothing has shipped to consumers and no final decision has been made on what to do here, if anything. If we do decide to roll something out, we will take a thoughtful approach and do so with full transparency." So Meta isn’t denying the accuracy of the reporting. The company also didn’t deny another recent report about its potential facial recognition feature addition. However, Meta is saying that it hasn’t made any decision yet, and that any such move would be clearly and thoroughly communicated. But it does feel like Meta is gradually working to ease potential opposition to an eventual implementation of facial identification in its wearable device. Meta’s past forays into facial recognition have caused major PR issues in the past. The company was effectively
Jun 16, 2026 · via socialmediatoday.com
A research team led by Professor Taesung Kim of the School of Mechanical Engineering at Sungkyunkwan University (SKKU, President Ji-beom Yoo) developed an optoelectronic synaptic device that mimics the functions of human neurons and synapses at the device scale. The researchers designed a designable van der Waals (vdW) crystal through a single-step sulfurization process using mixed plasma. The developed device operates under optical stimuli, offering a structural solution to configure semiconductor materials for brain-inspired computing. Rapid advancements in artificial intelligence and hyper-connectivity require neuromorphic vision systems capable of sensing and processing vast amounts of visual data in real time. Optoelectronic synapses, which exhibit conductance variations in response to light signals, serve as core components of these systems. Layered vdW materials attracted significant attention as promising candidates due to their excellent optical properties and atomic-scale thickness. However, conventional vdW materials faced technical challenges, including the difficulty of precisely controlling grain boundaries and intercalation, polymer residue accumulation, mechanical warpage at interfaces, and poor large-area crystalline uniformity. To overcome these limitations, the research team focused on the structural similarity between light-sensitive ion channels in biological membranes and layered vdW lattices. The researchers applied an argon and hydrogen sulfide (Ar + H₂S) plasma sulfurization process to bulk van der Waals rhenium selenide (ReSe₂). This single-step process transformed the upper portion of the material into a nano-crystalline ReSe₂ layer composed of nano-sized grains, while preserving the underlying bulk single-crystalline ReSe₂ layer without damaging the interlayer interfaces. These two integrated layers structurally correspond to the light-sensitive ion channels of a neuronal cell membrane and the intracellular environment, respectively, and were fabricated without additional deposition or patterning steps. The research team utilized scanning probe microscopy (SPM) to resolve the pathways of S²⁻ (sulfur) ionic migration. The grain boundaries in the nano-crystalline ReSe₂ layer confined the sulfur ionic
Jun 16, 2026 · via newswise.com
TensorFlow is an open-source platform used in machine learning. Learn how to write a resume highlighting your TensorFlow experience, skills, and more to land a job that uses the platform. Creating a resume that includes your experience with TensorFlow can help set you up for high-demand jobs in data science and various industries. Professions that benefit from a TensorFlow resume include TensorFlow developers, data scientists, software developers, and computer and information research scientists. Key TensorFlow skills to include on your resume include working with libraries like Keras, completing machine learning projects, and processing large data sets. You can include certificates on your TensorFlow resume to validate your TensorFlow knowledge and expertise. Learn more about how you can pull your experience and skills together in a concise and visually pleasing way with a resume that showcases your knowledge of TensorFlow. Then, consider advancing your TensorFlow and AI skills with the IBM AI Engineering Professional Certificate. This intermediate-level, 13-course series is designed to help you build the AI engineering skills and practical experience you need to stand out to employers in less than four months. You can use TensorFlow, Googleâs open-source platform, for machine learning, deep learning, and predictive analytics. Expertise in these areas remains in high demand for jobs in data science, software development, and artificial intelligence (AI) across various industries. TensorFlowâs use cases include developing models for natural language processing, image recognition, and computational-based simulations, among other uses. Highlighting your proficiency in programming languages, including Python, and your experience with machine learning and neural network modeling using TensorFlow by creating a âTensorFlow resumeâ may help you secure a role in one of these growing fields. The US Bureau of Labor Statistics (BLS) anticipates that jobs for computer and information research scientists, many of which may involve the use of TensorFlow,
Jun 15, 2026 · via coursera.org
Christie will show projection, LED video walls, image processing and interactive visualisation technologies at InfoComm 2026 in Las Vegas. The company’s booth will combine product demonstrations, content and partner integrations, with a focus on immersive visual experiences and North American product debuts. A major focus will be the North American debut of the Korus Series 4K 1DLP laser projectors. Powered by 0.8in High Efficiency Pixel DMD technology, the Korus Series is designed to deliver 1,500:1 contrast from a compact 38lb form factor for creative applications, concealed placement and flexible installation. Christie will also launch its XP Series cabinet-based LED video wall range, designed to maintain visual integrity from low to high brightness levels. The XP Series LED is backed by a 10-year warranty and aimed at government, immersive entertainment and mission-critical environments. Both the XP Series LED and MicroTiles LED displays are powered by Christie VividLife, the company’s LED video processing and management platform. Demonstrations will show features including pixel-perfect playback, intelligent calibration and content and control management. Christie will also use projection mapping on masks, with content from Faber and Knownsense, to demonstrate experiential storytelling applications. Simulation-focused demonstrations will include 0.9mm MicroTiles LED, interactive displays and Christie Spyder-S Release 6.1, the latest update to the company’s multiviewer windowing video processor. The Spyder-S update adds new frame types, simplified setup and configuration workflows, and expanded capabilities for background inputs and mix effects for rental, staging, live event and fixed installation users. The Christie Sapphire 4K40-RGBH will be displayed above the booth, delivering P3 colour and native 4K resolution for applications including dark rides, live events and virtual production. Additional demonstrations will feature the Christie Griffyn 4K50-RGB pure laser projector and static 1DLP systems. Christie will also show its TAA-compliant Secure Series III LCD panels, designed for control rooms, situation rooms,
Jun 15, 2026 · via inavateonthenet.net