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Meta Backs Down on Hidden Facial Recognition in Smart Glasses App

Meta Backs Down on Hidden Facial Recognition in Smart Glasses App
Interest|Mobile Apps

What Meta’s Hidden NameTag Experiment Reveals

Meta’s decision to embed, then remove, facial recognition code from its smart glasses app shows how wearable surveillance tech can reach millions of phones before people clearly understand what it does or are asked for meaningful consent. WIRED reported that Meta quietly shipped unreleased facial recognition smart glasses functionality inside the Meta AI companion app over multiple updates, even though the feature was not yet visible to users. Internally called NameTag, it was designed to detect faces, crop them, and turn them into biometric data tracking templates stored on each user’s device. Privacy advocates warned that this turned Ray-Ban and Oakley smart glasses into a potential roaming identification tool, able to spot and label people in public spaces without their knowledge. The backlash that followed has now forced Meta to strip the smart glasses facial recognition system from the app—for now.

Meta Backs Down on Hidden Facial Recognition in Smart Glasses App

How the Facial Recognition System Worked in the Shadows

EFF’s Threat Lab confirmed through static analysis that Meta’s app contained active facial recognition code, even though consumers could not yet tap a menu to use it. The system created faceprints—numerical representations of facial features—that could identify people by comparing new camera feeds against a growing on-device gallery. EFF described the glasses as part of an “always-on surveillance” setup, warning that every new face in view could be converted into a series of numbers and checked against the user’s database. One researcher showed that, after manually adding a face through debug tools, the glasses would recognize that person whenever they appeared. According to EFF, Meta has already paid USD 650 million (approx. RM2,990,000,000) to settle a previous biometric privacy lawsuit, yet it still built capacity that could turn customers into a distributed surveillance machine.

Meta Backs Down on Hidden Facial Recognition in Smart Glasses App

Public Outcry, Advocacy Pressure, and Meta’s Sudden Reversal

The presence of NameTag’s code set off a fast, coordinated reaction from privacy advocates. More than 70 organizations, including civil liberties and digital rights groups, had already urged Meta to abandon facial recognition smart glasses plans. After WIRED exposed the embedded code and EFF amplified the findings, Meta at first claimed it was only “exploring” the technology and stressed that no central face database was being built. Yet within about 48 hours of the revelations, an update to the Meta AI app quietly removed the facial recognition system, including the machine learning models, biometric databases, and “Person recognized” alert logic. EFF framed the rollback as a win but warned that a silent code deletion does not equal a policy change, especially since Meta has not explained whether NameTag might return or how any internal test data was handled.

Meta Backs Down on Hidden Facial Recognition in Smart Glasses App

Consent, Transparency, and the Future of Wearable Surveillance Tech

The Meta privacy scandal highlights how thin today’s safeguards are around wearable surveillance tech. Smart glasses facial recognition does not only affect the buyer; it also targets everyone who happens to walk into frame, none of whom meaningfully consented to biometric data tracking. Meta insists it will be “thoughtful” and transparent if it releases NameTag, but previous internal documents cited by EFF suggest the company has weighed launching facial recognition during moments when critics are distracted. Advocates argue that oversight cannot depend on after-the-fact exposes and voluntary reversals. They call for clear biometric privacy laws, strong consent rules, and a private right of action so people can sue when their face is turned into data without permission. Until then, wearable AI capable of identifying strangers will continue to sit at the edge of what companies think they can get away with.

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