11 Sources
[1]
Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones
Meta has quietly embedded face-recognition technology for its smart glasses into an app downloaded to millions of phones, according to a WIRED analysis of the company's software. Code discreetly added to Meta's AI app over multiple updates this year shows that the feature, internally called "NameTag," identifies people captured by the glasses' camera and, when activated, alerts the wearer when it recognizes someone. The discovery of NameTag in the live Meta AI app shows that Meta had begun shipping face-recognition code to users' phones while publicly describing it as something the company was still "thinking through." In April, Meta said if it were to utilize face recognition, it wouldn't be rolled out without first taking "a very thoughtful approach." But WIRED found that as early as January, core components of the system had been integrated into software distributed to millions of people. Though not yet enabled, NameTag sits inside a Meta AI companion app that's been downloaded over 50 million times and is necessary for use of key features of its smart glasses, including Ray-Ban and Oakley models. If activated, it will transform faces captured by Meta's glasses into unique biometric signatures, commonly known as faceprints, and check each one against faceprints stored on the user's phone -- a database that's currently configured to receive updates from Meta. Recognized faces will trigger notifications, while the rest are cropped, indexed, and saved to a folder marked "pending." Got a Tip?Are you a current or former Meta employee who wants to talk about the company's technologies? We'd like to hear from you. Using a nonwork phone or computer, contact the reporter securely on Signal at dmehro.89 or dell.3030. NameTag would revive a type of technology Meta said it had sunsetted in 2021, when the company announced it would delete more than a billion faceprints belonging to Facebook users following years of controversy over its photo-tagging system. Meta ultimately paid $650 million to settle a class-action lawsuit brought by Illinois users and, in 2024, agreed to a separate $1.4 billion settlement with Texas over allegations it had unlawfully collected biometric data from users. Its renewed efforts arrive amid mounting opposition to consumer-level face recognition, which privacy advocates argue will give anyone from stalkers to immigration agents easy access to a dangerous technology. Internal Meta documents published by The New York Times in February showed the company had planned to roll out the feature during a "dynamic political environment," when Meta believed its biggest critics would be preoccupied. Three AI models powering NameTag have already been deployed from Meta's servers and now reside on its customers' phones, according to WIRED's analysis, which was independently reproduced by outside experts. One model detects faces, one crops them, and a third encodes them into biometric data. Only traces of the user interface are currently present, hinting at how the feature may ultimately work. A May version of the app rebrands the feature for users as "Connections," inviting them to "remember the people you met." It remains unclear whose faces will be included in the system's recognition database, how those profiles are created, or how many people could ultimately be identifiable through it. WIRED shared its findings with two outside security researchers who separately examined the app and reproduced key aspects of the analysis: Cooper Quintin, a security researcher and senior public interest technologist with the nonprofit Electronic Frontier Foundation's Threat Lab, and an independent security and privacy researcher who goes by the pseudonym Buchodi and has spent more than a decade reverse engineering consumer software and surveillance technologies. "The feature is not yet exposed to consumers but seems nearly ready to go," says Quintin who reviewed our findings. "Despite the billions of reasons not to, Meta seems to have created the capacity to turn their customers into a distributed surveillance machine." Buchodi ran additional tests on the recognition pipeline. (Read their technical analysis here.) To see if the matching system worked, Buchodi added a single faceprint to the app's gallery, taken from the deceased French philosopher Michel Foucault. After triggering NameTag with Foucault's image, the app produced a notification: "Person recognized." "The main components of a face-recognition feature are already in Meta's companion app," Buchodi says. "Not many pieces stand between this and a working feature." In April, more than 70 advocacy groups -- including the American Civil Liberties Union, Electronic Privacy Information Center, and Fight for the Future -- demanded Meta scrap NameTag, warning it would let stalkers and abusers silently identify strangers in public. "Our competitors offer this type of face-recognition product, we do not," a Meta spokesperson said in a statement to WIRED at the time. "If we were to release such a feature, we would take a very thoughtful approach before rolling anything out." Privacy advocates argue that by embedding face recognition into a mass-market wearable platform, Meta could normalize a capability it previously pulled back amid privacy concerns. "You're setting norms and standards by putting technology into the ecosystem," Joseph Jerome, a former Meta Reality Labs policy official who worked on privacy reviews for the company's AR and VR products, says of Meta's role in the wearable tech industry. "I don't know how Meta can responsibly deploy a technology like this." "Regardless of any sensational reporting, the facts are simple: We've said before we're exploring these types of features, and what you're seeing is merely evidence of that exploration," says Meta spokesperson Ryan Daniels. "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. One decision we can be clear about -- we are not building a central face database." WIRED's code review shows the NameTag system is currently designed to pull faceprints from Meta's servers and store them on user devices. Meta's earlier system, announced by Facebook in 2010, analyzed photos and suggested tags for people who appeared in users' images. It quickly scaled to more than a billion users and became one of the largest consumer face-recognition systems ever deployed. The technology drew scrutiny almost immediately. European regulators and privacy advocates in the US questioned its legality as early as 2011, and there were concerns over whether users had meaningfully consented to the creation of biometric data. In 2019, Meta paid $5 billion to the Federal Trade Commission and Department of Justice to settle a wider privacy case that included face-recognition concerns. In November 2021, Meta announced it would shut down the system and delete the face templates it had built, citing growing concerns about the role of face recognition in society. But the decision was never understood internally as a permanent retreat, says Jerome, who joined Reality Labs in mid-2021. "There was always this tension of, well, when do we roll back out face recognition?" In 2025, according to internal documents reviewed by The Times, Meta planned to debut face recognition on its smart glasses to attendees of a conference for the blind before making it available to the general public. It never did. But the technology answers a real demand: Existing assistive devices already let blind users identify faces they have personally enrolled, and a 2018 study of blind users by Cornell Tech and Facebook researchers found that every participant called recognizing people an important daily task. Meta did not respond to questions about which users might be identifiable through NameTag; whether it intends for photos, faceprints, or other data generated by the system to ever be transmitted back to its servers; or whether the company has plans to let users opt in rather than out. EssilorLuxottica, which manufactures the Ray-Ban and Oakley smart glasses with Meta, did not respond to a request for comment. Woodrow Hartzog, a privacy law professor at Boston University, says even opt-in protection -- should Meta eventually offer it -- would be thin. Consent, he says, can often be tied to a job, a benefit, or access to a service. Framing privacy as a matter of personal choice is advantageous to businesses, placing no meaningful limits on collection while letting companies claim users are in control. "We know that the more these systems are deployed, the more people come to see them as unexceptional," Hartzog says. "And the more we come to see them as unexceptional and routine, the more people tend to start to take their moral cues about whether it's desirable or good to have your face scanned. That's just human psychology."
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Meta quietly removes face-recognition code from its smart glasses app - Engadget
The 'disappearing into the bushes like Homer Simpson' strategy is a bold choice. Only a day after a dormant bit of code that seemed to be a facial recognition algorithm was discovered in a companion app for its smart glasses, Meta released an update which removed that code, Wired reported. The publication had first uncovered the suspicious code, internally dubbed Name Tag within Meta, while reviewing code for a Meta AI app which handles some core features of the glasses. In other words, the same app necessary for pairing Meta smart glasses to a user's phone over Bluetooth was also ready to start harvesting every face a user passed by while wearing them. Wired uncovered the dormant tool on June 4. It contained algorithms which would have converted photos of faces into biometric identifiers stored on-device and cross referenced with each new facial scan. On June 5, an update was released which removed it entirely. In February, The New York Times had reported that Meta was working to bring facial recognition to its glasses. Given that the Times heard the internal moniker Name Tag bandied about at that time, the code discovered by Wired was likely the fruit of those efforts. The workings of the tool suggest that it might have been intended as a way for users to more easily identify people they had previously met. A handy feature for forgetful folks, no doubt, but also an extremely creepy and invasive solution to a very common interpersonal dilemma. Most people would probably rather someone simply admit to having forgotten their name than to have their likeness ingested by a face-mounted camera. Meta smart glasses are made in partnership with popular Luxottica brands including Ray-Ban and Oakley. They are already raising hackles, with manosphere-adjacent social media influencers using them to harass and record women. In December, a woman was accused of breaking a man's Meta glasses on the New York City subway. Meta was also hit with a class action in March after a Swedish newspaper investigation revealed that Kenyan workers were reviewing footage from the company's smart glasses -- including sexual intimacy and bathroom use -- which seemed to have been taken without the owners' knowledge. In a statement given to Wired on Monday, Meta vice president of communications Andy Stone was quoted saying that the feature was only a pilot effort and that the company had not made an "official decision on what to do here, if anything." That may be true, but real Meta employees were paid real money to spend their time writing, reviewing, and shipping that code in a live product. That it was never activated is likely to be cold comfort not only for owners who may not want to turn themselves into mobile data harvesting tools, but also for the people in those users' lives who may not want their faces unknowingly analyzed. The very fact that the code was so swiftly removed and PR statements issued suggests Meta knows it's walking a tightrope with these types of invasive features.
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Meta Removes Face-Recognition System From Its Smart Glasses, Is Mad About it
Last week, Wired reported that Meta quietly pushed code for a yet-to-be-released face-recognition system supposedly designed for the company's smart glasses. Now the publication reports that Meta has quietly removed that system from its codebase. The only part that hasn't been quiet is Meta's very public tantrum about the whole thing. A quick recap on the situation: On June 4, Wired published its report about a feature hidden in the Meta AI app's code called "NameTag." The system, which was not active or available for anyone to use, was reportedly designed to use AI to identify anyone seen through the lens of the company's line of Ray-Ban smartglasses. If the system recognized the face, it would alert the wearer to that person's identity. Wired noted the code for that hidden facial recognition system was available in an app that has been downloaded onto more than 50 million devices. On June 5, Meta reportedly removed the code from the most recent version of the app made available for download. So anyone who has updated their Meta AI app over the weekend presumably now has an app that is free from the code libraries for the face recognition. That's a pretty straightforward timeline of events to read into: Meta quietly pushed code for a controversial feature it didn't want to make public yet, Wired spotted it and reported it, Meta got rid of it because, among other reasons, it's creepy and weird and not going to be particularly well received. But while Meta scrapped the code once it was spotted, higher-ups at the company threw a little fit about how it's not even that big of a deal. In a post on X, Meta's Vice President of Communications Andy Stone complained that Wired waited until the fourth paragraph to note the facial recognition feature was "not enabled," and doesn't note until the 16th paragraph that the feature is exploratory. "This is more than shoddy reporting, it's intellectually dishonest," Stone said, in a very AI-written sentence format. "Pure advocacy-driven click bait." The fact that the feature isn't active isn't really the point, though. Exploring a feature that feels like a major violation of privacy is the story, whether they go forward with it or not. And it's not like Meta doesn't want to push this feature. Dating back to 2021, the company has been flirting with facial recognition in its smart glasses. At the time, Meta's Head of Hardware, Andy Bosworth, said the company was "looking at" such a feature. The New York Times reported earlier this year that a Meta internal memo showed the company was planning to add the feature. It seems as though it's a bit more than just something they're playing around with. Speaking of Bosworth, he also objected to Wired's reporting. In a post on X responding to Stone, the now chief technology officer at Meta said, "Incredibly misleading from Wired, sadly we are coming to expect that from them more and more. Absolutely dishonest." Notably, he did not offer any details on what was misleading or dishonest about it. Even Stone's criticisms just amount to Meta not liking the framing of what otherwise appears to be factually accurate reporting. One thing Stone and Bosworth could consider is that if you don't want any speculation about possible facial recognition features in your products, you could just not repeatedly say that you want to add facial recognition to your products and push code that would enable that to happen. Meta didn't immediately respond to Gizmodo's request for comment on Monday. In response to Wired's questions, Stone said: "No final decision has been made on what to do here, if anything."
[4]
Meta's smart glasses face-recognition plans may be further along than you realize
Meta says it is still only exploring the technology, but the new report says core components were added as early as January. Ray-Ban Meta glasses are already facing fresh privacy questions after a report highlighted how modders are physically disabling the recording LED for covert filming. That's unsettling enough, but hidden recording may not be the only concern around Meta's smart glasses. According to a new investigation, Meta has already embedded code for an unreleased face-recognition system for its smart glasses inside the Meta AI app. WIRED says it reviewed code in Meta's live companion app and found references to a feature internally called NameTag, which appears designed to identify people seen by the glasses' camera. The Meta AI app is used with the company's Ray-Ban and Oakley smart glasses, and the app has been downloaded more than 50 million times. The feature doesn't appear to be enabled for consumers yet. However, WIRED reports that core components of the system were added to the app as early as January, including three AI models that now sit on users' phones. One model detects faces, another crops them, and a third turns them into biometric data that can be checked against faceprints stored on the phone. If activated, the system would apparently alert the wearer when it recognizes someone. A May version of the app also appears to rebrand the feature as "Connections," with user-facing text inviting people to "remember the people you met." Meta pushed back on the framing of the report. Company spokesperson Ryan Daniels told the publication that the findings are "merely evidence" that Meta is exploring these types of features, adding that "nothing has shipped to consumers and no final decision has been made." Meta also said that if it does roll anything out, it will do so with full transparency, and that it is "not building a central face database." This isn't the first time NameTag has surfaced. Back in February, The New York Times reported on internal Meta documents showing that the company had planned a face-recognition feature for its smart glasses, despite the privacy concerns. Those documents also reportedly described how the current "dynamic political environment" could leave critics of the feature preoccupied. The underlying technology already present in the app people use with Meta's smart glasses suggests a potential rollout is moving closer. The new report also says Meta had been publicly describing face recognition as something it was still "thinking through," even as components of the system were being distributed to users' phones. None of this means NameTag is definitely rolling out, and Meta's 2021 shutdown of Facebook's earlier face-recognition system shows how fraught this territory already is. It's easy to see how face recognition in smart glasses could be handy if it helps you remember someone you've met before. The understandable privacy concern is that recognizing an acquaintance isn't the only possible use for this technology, and once that Pandora's box is open, it could be very difficult to close it again.
[5]
Meta Ray-Ban glasses may soon identify faces using AI
A new report indicates the Meta Ray-Ban companion app is capable of face recognition and is designed to identify users from images and videos taken on its paired smart glasses. The report comes courtesy of WIRED, which did a deep dive into the Meta AI app to uncover a buried, unreleased AI feature called "NameTag." The feature is able to recognize faces captured on Meta Ray-Ban smart glasses, process them, and alert users when familiar faces are present. The report states that NameTag has been in ongoing construction over a period of several recent updates this year, sometime after Meta announced the new display variant. Meta AI acts as the companion app and connects device functions to the glasses. That gives the glasses necessary access to the internet and, further, Meta AI's backend processing. The glasses can't be used without the app, which means the face recognition feature is already embedded into just about any device connected to a pair of Meta Ray-Ban smart glasses. It appears Meta stores recognized facial data on user devices after faceprints are pulled from the company's servers. WIRED's report notes that Meta claimed it was "thinking through" the prospect of a facial recognition feature back in April. Following the updates where NameTag's foundation was laid, that feature seems to date back to as early as January. In theory, if users hadn't updated the Meta AI app since then, NameTag may still be embedded. Meta Ray-Ban's NameTag works by converting faces into biometric data using three AI models, so far. One detects the person's face, another model repositions the image, and the last converts that face into usable biometric data. This information is based on NameTag's code in its current form. Again, it's not an operational feature, though Meta claims such a feature would be announced with "full transparency." 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. One decision we can be clear about -- we are not building a central face database. Meta isn't the only company taking up face time, as Google prepares its own Android XR glasses built by Samsung. There's no word on whether facial recognition is a prospect, but flagship glasses from Google will have cameras and microphones built in. Like Meta, they'll be built to offer a more natural AI interface.
[6]
Meta quietly added facial recognition code for smart glasses to its app
Meta has quietly added facial recognition tech for its smart glasses to its Meta AI app. A Wired investigation discovered that the code has been added to Meta's AI app over "multiple updates this year." The feature is internally called NameTag, and it can reportedly identity people captured by the camera on Meta's smart glasses, including Ray-Bans and Oakleys, as well as alert the wearer when it recognizes someone. The fact that Meta is looking into this is not new; The New York Times wrote about it last year, with Meta later commenting that it would take a "very thoughtful approach" if it ever were to release something like that. And while the feature did not, in fact, roll out out to users, the fact that Meta has reportedly added some of the code need for it to run into Meta AI, an app distributed to tens of millions of users, is concerning. The groundwork for the feature includes three AI models - one which detects people's face them, one which crops them, and one which encodes them into biometric data -- and all three already reside on the phones of people who have the Meta AI app installed. Two security researchers who reviewed Wired's findings both noted that the app is nearly ready to go. A Meta spokesperson reiterated to the publisher that the company is merely "exploring" such a feature, and that these findings are "evidence of that exploration." "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. One decision we can be clear about -- we are not building a central face database," said the spokesperson. Meta has stirred up trouble with facial recognition tech before, most notably when it paid hundreds of millions of dollars in fines due to collecting people's biometric data without prior consent, thus violating privacy laws. The matter was made worse when it was discovered that the facial recognition startup Clearview AI scraped billions of photos from Facebook to build an identity-matching database which was sold to third parties. The news comes just one month after 70 organizations, including the ACLU and Fight for the Future, sent a letter to Meta, urging the company to "immediately halt and publicly disavow" any plans to add facial recognition to its smart glasses.
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Meta denied face scanning tech on AI smartglasses, and then silently wiped the evidence
Meta's face-recognition history returns to haunt its AI smart glasses ambitions Meta's smart glasses privacy problem has taken another turn. After WIRED found inactive face-identification references inside the Meta AI app, the same code has now reportedly vanished in a follow-up app update. Meta's smart glasses app carried traces of face-ID work The code was reportedly connected to an internal effort called "NameTag." WIRED found that the system was not switched on for users, but its presence suggested Meta had gone beyond a loose concept and had started testing how face identification might work inside its smart glasses ecosystem. Recommended Videos According to WIRED, the dormant system appeared to process faces into on-device identifiers that could be matched with previously saved information. That is still different from a public launch of facial recognition on Ray-Ban Meta smart glasses, but it shows why the discovery has drawn attention. The issue is more sensitive because this was not hidden in a research demo or developer-only build. It surfaced in the app ordinary smart glasses owners interact with. For a camera-equipped wearable meant to be worn in public spaces, even inactive face-recognition references are enough to raise questions about consent, visibility, and how much users actually know about what is being tested behind the scenes. Civil rights groups were already sounding the alarm This was not the first warning sign around Meta's smart glasses ambitions. It was previously reported that civil rights groups were unhappy about Meta's reported plans to bring facial recognition to its AI glasses. Civil rights advocates argued that a feature capable of identifying people through wearable cameras could create privacy risks for bystanders who never agreed to be scanned, while also expanding the reach of surveillance in everyday public settings. That concern has only grown sharper after the code removal. Meta communications executive Andy Stone told WIRED that the feature was part of a pilot and that the company had not decided whether to use it. That may explain why the feature was not live, but it does not answer why face-ID code appeared in an app built for regular smart glasses owners. Meta's history with the technology also makes this harder to brush aside. In 2021, Facebook said it was shutting down its face-recognition system and deleting facial recognition templates for more than a billion users, citing privacy and regulatory concerns. The latest report does not prove facial recognition is coming to Meta glasses soon. But when dormant face-ID code appears in a consumer app and then disappears after being reported, it becomes harder to treat Meta's interest as purely theoretical.
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Meta accused of preparing facial recognition features for AI smart glasses
Meta's wearable AI ambitions spark privacy concerns after facial recognition report Meta is facing renewed scrutiny after a report revealed that the company quietly embedded face-recognition technology into software linked to its smart glasses ecosystem, potentially laying the groundwork for a controversial surveillance feature years after publicly stepping back from facial recognition on Facebook. According to a WIRED investigation, code updates to Meta's AI companion app included an unreleased internal system called "NameTag," designed to identify people captured by the cameras on Meta's Ray-Ban and Oakley smart glasses. The report claims the software can convert faces into biometric signatures, compare them against stored databases on a user's phone, and alert wearers when someone is recognised. Meta's smart glasses ambitions are colliding with old privacy fears The discovery is significant because it suggests Meta has continued developing consumer-level face-recognition technology despite years of backlash, lawsuits, and regulatory scrutiny over how it handled biometric data on Facebook. The company shut down Facebook's facial recognition system in 2021 and deleted more than a billion faceprints after mounting criticism from privacy advocates and regulators. Recommended Videos WIRED's investigation claims core components of the NameTag system had already been integrated into software distributed to millions of phones as early as January 2026. The app itself has reportedly been downloaded more than 50 million times and acts as a key companion platform for Meta's smart glasses ecosystem. The report says Meta has already deployed three AI models related to the feature. One detects faces, another crops them from images, and a third converts them into biometric data. Security researchers cited in the report reportedly recreated portions of the system independently and found that the recognition pipeline appeared nearly functional. That matters because wearable face recognition has long been viewed as a far more invasive form of surveillance than traditional smartphone-based tagging systems. Unlike social media uploads, smart glasses operate in real time and can potentially identify strangers in public spaces without their knowledge or consent. Privacy groups, including the American Civil Liberties Union and the Electronic Privacy Information Center, have reportedly warned that such technology could normalize mass identification in everyday life, enabling misuse ranging from stalking to targeted surveillance. Meta says nothing has launched yet, but concerns are already growing Meta has pushed back against some of the claims, stating that the technology remains exploratory and that no consumer-facing facial-recognition feature has officially launched. The company also said it is not building a central facial recognition database and would take a "thoughtful approach" before releasing anything publicly. Still, the timing of the report is important. Smart glasses are increasingly becoming one of the biggest battlegrounds in consumer AI, with companies racing to build wearable assistants that can see, hear, and interpret the world around users. Meta has aggressively expanded its AI wearables ambitions through partnerships with EssilorLuxottica, while rivals including Apple and Google continue exploring similar mixed-reality technologies. For consumers, the issue goes beyond just another AI feature. If wearable face recognition becomes mainstream, it could fundamentally change expectations around anonymity in public spaces. Critics argue that once these systems become common enough, opting out may no longer feel realistic. The next big question is whether Meta eventually activates NameTag publicly, modifies the technology under regulatory pressure, or keeps it limited to experimental testing. Either way, the report signals that face recognition inside wearable devices may no longer be a distant concept - it may already be sitting quietly inside apps millions of people have installed.
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Meta's Leaked Wearable Roadmap Reveals Controversial Facial Recognition Plans
Meta's recently leaked roadmap has revealed a range of upcoming wearable devices, including smart glasses that integrate advanced AI and sensor technologies. Among the most talked-about features is the potential inclusion of facial recognition technology, codenamed "Name Tag," which could identify individuals by converting biometric data into identifiable information. This controversial capability, as discussed by The Smart Glasses Guy, raises significant privacy and ethical concerns, particularly in regions with strict data protection laws. The roadmap also outlines a diverse lineup of products, such as the affordable "Medel" glasses and the high-end "Mojito VIP," showcasing Meta's strategy to cater to both casual users and tech enthusiasts. Explore how Meta plans to incorporate always-on sensors for environmental awareness, the "Muse Spark" AI engine for real-time data processing and the "Hatch" AI assistant for productivity-focused tasks. You'll also gain insight into Meta's ambitious market goals, including a target of 10 million unit sales by late 2026. With prototypes like "Artemis" and the AI Pendant on the horizon, this disclosure examines the balance Meta must strike between innovation and addressing privacy concerns to shape the future of wearable technology. What's in Meta's Smart Glasses Lineup? Meta's roadmap details a diverse lineup of smart glasses, each tailored to meet different user needs and budgets. These models showcase Meta's commitment to offering a range of options, from entry-level devices to high-end innovations: * Entry-Level "Medel": Designed for affordability, this model is expected to include a camera, AI capabilities and audio functionality. However, it will lack a display, focusing instead on basic features for casual users. * Mid-Tier "Luna": Scheduled for release this fall, these glasses will feature a monochrome heads-up display (HUD) for notifications, providing enhanced functionality without overwhelming complexity. * "Ray-Ban Meta 2 Refresh": Aimed at improving user comfort, this updated version will refine hardware design while maintaining its core features, making sure a more seamless experience for wearers. * High-End "Mojito VIP": Launching in December 2026, this premium model will include a full waveguide display and next-generation processors, offering superior performance and advanced capabilities for tech enthusiasts. This lineup reflects Meta's strategy to cater to a broad audience, from casual users to professionals seeking innovative technology. Prototypes and Future Innovations Beyond its planned product launches, Meta is actively developing prototypes that push the boundaries of wearable technology. These innovations aim to redefine how users interact with their environments: * "Artemis" and "Super Sensing Glasses" (SSG): These prototypes are equipped with always-on sensors designed to provide environmental scanning and contextual awareness. By allowing seamless interaction with surroundings, they represent a significant leap in wearable tech functionality. * AI Pendant: Targeted for a 2027 release, this wearable device will record, transcribe and summarize conversations in real time. By expanding Meta's offerings beyond glasses, the AI Pendant underscores the company's broader vision for wearable technology. These prototypes highlight Meta's focus on innovation and its ambition to lead the wearable tech market with devices that integrate seamlessly into daily life. Unlock more potential in Meta smart glasses by reading previous articles we have written. AI at the Core of Meta's Strategy Artificial intelligence is central to Meta's wearable technology roadmap, with two key components driving its strategy: * "Hatch" AI Agent: Set for internal testing in June 2026, this AI assistant is designed to autonomously manage tasks such as scheduling, email handling and online activities. Meta may eventually offer this feature as part of a premium subscription service, enhancing its appeal to productivity-focused users. * "Muse Spark" AI Engine: This on-device AI engine processes data in real time, reducing reliance on cloud-based systems. By prioritizing local data processing, Meta aims to improve performance while addressing concerns about data security and privacy. These AI-driven features demonstrate Meta's commitment to creating devices that are not only innovative but also practical and efficient for everyday use. Facial Recognition: A Controversial Feature One of the most debated aspects of Meta's roadmap is the potential inclusion of facial recognition technology, internally referred to as "Name Tag." This feature, discovered in Meta's app code, could convert biometric data into identifiable information. While Meta has not officially confirmed its implementation, the possibility has sparked significant privacy concerns. Critics argue that facial recognition could lead to misuse, particularly in regions with stringent data protection laws. Regulatory challenges and public skepticism are likely to play a significant role in determining whether this feature becomes a reality. Meta's ability to address these concerns will be crucial in shaping public perception and regulatory approval. Meta's Market Goals Meta has set ambitious targets for its wearable technology division, reflecting its confidence in the potential of these devices: * Achieving sales of 10 million units in the second half of 2026. * Reaching 6.8 million monthly active users by the end of 2023. To meet these goals, Meta is using AI as the core operating system for its devices. By delivering contextual information and enhancing user experiences, the company aims to differentiate itself from competitors and attract a wide range of users. Privacy and Ethical Considerations The integration of advanced features such as always-on sensors and facial recognition has ignited debates about privacy and ethics. While Meta has emphasized its commitment to implementing safeguards to protect user data, concerns remain about potential misuse and regulatory scrutiny. Meta faces the challenge of balancing technological innovation with responsible implementation. Addressing these concerns transparently and proactively will be essential to building trust with users and regulators alike. The Road Ahead for Meta Meta's leaked roadmap offers a glimpse into a bold vision for the future of wearable technology. By focusing on AI integration, innovative features, and a diverse product lineup, the company aims to redefine user experiences and solidify its position in the competitive wearables market. However, the success of this vision will depend on Meta's ability to navigate privacy concerns, ethical challenges and regulatory hurdles. As the wearable tech landscape evolves, Meta's approach to balancing innovation with responsibility will likely determine its long-term impact and success. Media Credit: The Smart Glasses Guy Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
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Researcher Finds Face Recognition in Meta AI Glasses
Meta has fully developed a working facial recognition pipeline inside its Ray-Ban smart glasses companion app that can trigger a notification naming an identified person when a known face is detected through the glasses' AI-powered cameras, according to code inspection conducted by Buchodi. Buchodi is a security-minded engineer who audits the security of software development kits (SDKs). Developed, but not implemented: However, Meta has not made the feature operational yet. As a result, regular users of Meta Ray-Ban smart glasses cannot currently use it. However, the functionality appears ready to be deployed if Meta chooses to enable it. How does it work? The researcher states that the code contains three face-recognition models, totalling around 100 MB in size, with the following functions: * android_facerec_scrfd (3.4 MB): Detects faces in an image. * android_facerec_kps_aligner (117 KB): Crops and aligns each detected face. * android_facerec_sface (96 MB): Converts a face into a 2,048-dimensional embedding (a biometric fingerprint). The researcher further pointed to the following open-source architectures on GitHub as the technology underpinning the system: * InsightFace: A state-of-the-art 2D and 3D face analysis project. [ GitHub | Website ] * SFace: "SFace can make a better balance between decreasing the intra-class distances for clean examples and preventing overfitting to the label noise, and contributes more robust deep face recognition models." [ GitHub ] Code is not the evidence of privacy violation: "Worth stating plainly: shipping detection and embedding models is not, by itself, evidence of recognition. Plenty of apps run on-device face detection for framing or autofocus." What can it do if implemented in its current form? According to the researcher, "Run end-to-end, it recognizes a known face and names it in a notification, and it stages unknown faces (crop + fingerprint) to disk." "What I am not claiming: that Meta is identifying strangers for users today, that enrollment data is flowing, or that any of this is enabled in production," the researcher added. Architecture at this level can't be an accident: "What's hard to wave away: building, shipping, and wiring this much apparatus down to a 2048-dimension facial fingerprinting and a hardcoded 'Person recognized' notification, is an engineering investment. Capability that doesn't ship by accident," the researcher concluded. Meta has access to users' sensitive and private data, including nudity: In March 2026, an investigation by Swedish newspapers revealed that Meta allowed data annotators in Nairobi, Kenya, working for Sama, a San Francisco-based contractor, to access sensitive, unanonymized data from Meta Ray-Ban smart glasses users. The investigation also found that these workers had access to live data streams. Swedish dailies Svenska Dagbladet (SvD) and Göteborgs-Posten (GP) conducted the reporting. Later, a California-based law firm filed a lawsuit against Meta, alleging that the company violated users' privacy rights. Read the lawsuit here: [ PDF ] Read the full investigation here: [Link| Archive]
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Meta's Smart Glasses Get Smarter with Facial Recognition for Everyday Encounters
Meta is reportedly testing facial recognition for its smart glasses. The feature could help users identify people around them, but it is already raising concerns about privacy and consent. Meta is working on another big upgrade for its smart glasses. Recent reports say the company is testing facial recognition tech that could help users identify who they see while they're out doing everyday stuff. This feature is a major leap for wearable AI devices. Smart glasses went past just taking photos and answering questions. Now, they might also be able to recognize faces and then give details in real time. For some people, it sounds useful and convenient, but others are unsettled about what it could mean for privacy in public spaces.
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Meta embedded facial recognition technology into its AI companion app for smart glasses, downloaded over 50 million times, before quietly removing it after being exposed. The NameTag feature would have identified people through the glasses' camera and converted faces into biometric data. This comes despite Meta's 2021 promise to sunset face recognition and $2 billion in privacy settlements.
Meta quietly integrated face recognition technology into its AI companion app for Meta smart glasses, according to a WIRED investigation published on June 4
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. The code, internally called NameTag, was discovered embedded in the Meta AI companion app, which has been downloaded over 50 million times and is essential for operating key features of Meta Ray-Ban smart glasses and Oakley models1
. Just one day after the report surfaced, Meta removed the code entirely in an update released on June 52
.
Source: Gizmodo
The NameTag feature was designed to identify people captured by the glasses' camera and alert wearers when it recognized someone. Three AI models powering the facial recognition system had already been deployed from Meta's servers to customers' phones
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. One model detects faces, another crops them, and a third encodes them into biometric data that could be checked against faceprints stored on-device4
. Core components of the system had been integrated into software distributed to millions of people as early as January1
.The discovery raises significant privacy concerns, particularly given Meta's troubled history with facial recognition. The company paid $650 million to settle a class-action lawsuit brought by Illinois users and agreed to a separate $1.4 billion settlement with Texas in 2024 over allegations it unlawfully collected biometric data
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. Meta had announced in 2021 that it would delete more than a billion faceprints belonging to Facebook users and sunset its photo-tagging system1
.If activated, NameTag would have transformed faces into unique biometric identifiers, commonly known as faceprints, and checked each one against faceprints stored on the user's phone through a database configured to receive updates from Meta
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. Recognized faces would trigger notifications, while unrecognized faces would be cropped, indexed, and saved to a folder marked "pending"1
. A May version of the app rebranded the feature as "Connections," inviting users to "remember the people you met"1
.
Source: Wired
Meta Vice President of Communications Andy Stone defended the company, calling WIRED's reporting "intellectually dishonest" and "pure advocacy-driven click bait" for not emphasizing earlier that the feature was not enabled
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. Chief Technology Officer Andy Bosworth also criticized the reporting as "incredibly misleading" and "absolutely dishonest"3
. However, neither executive disputed the factual accuracy of the reporting.Meta spokesperson Ryan Daniels told WIRED that the findings are "merely evidence" that Meta is exploring these types of features, stating that "nothing has shipped to consumers and no final decision has been made"
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. Stone added that if Meta decides to roll something out, it will do so with "full transparency" and emphasized the company is "not building a central face database"5
.Related Stories
Independent security researchers verified WIRED's findings. Cooper Quintin from the Electronic Frontier Foundation's Threat Lab stated, "The feature is not yet exposed to consumers but seems nearly ready to go. Despite the billions of reasons not to, Meta seems to have created the capacity to turn their customers into a distributed surveillance machine"
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. Security researcher Buchodi conducted additional tests and successfully triggered the recognition system using a faceprint of deceased French philosopher Michel Foucault, producing a "Person recognized" notification1
.The incident highlights mounting opposition to consumer-level face recognition technology. In April, more than 70 advocacy groups including the American Civil Liberties Union and Electronic Privacy Information Center demanded Meta scrap NameTag, warning it would enable stalkers and abusers to silently identify strangers in public
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. Internal Meta documents published by The New York Times in February showed the company planned to roll out the feature during a "dynamic political environment" when critics would be preoccupied1
.
Source: Mashable
Meta Ray-Ban smart glasses already face scrutiny over covert filming capabilities, with reports of modders physically disabling the recording LED indicator
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. A class action lawsuit was filed in March after a Swedish newspaper investigation revealed Kenyan workers were reviewing footage from Meta smart glasses that appeared to include sexual intimacy and bathroom use, seemingly recorded without owners' knowledge2
. The swift removal of the code and subsequent PR statements suggest Meta recognizes the sensitive nature of integrating such invasive features into wearable devices with on-device storage of biometric identifiers.Summarized by
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