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Home » Meta accused of preparing facial recognition features for AI smart glasses
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Meta accused of preparing facial recognition features for AI smart glasses

By dailyguardian.aeJune 5, 20263 Mins Read
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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.

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.

A person wearing Ray-Ban Meta smartglasses.

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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