What Meta’s Hidden ‘Name Tag’ Feature Was
Meta’s Name Tag feature was an experimental facial recognition system embedded in the Ray-Ban smart glasses ecosystem, designed to capture faces through the glasses, turn them into biometric identifiers, and match them against face data stored on the user’s phone, enabling on-demand identification and information about people in view. According to reporting on internal Meta documents, Name Tag was conceived as an AI-powered tool that could identify either people already connected to the wearer on Meta platforms or anyone with a public account on services like Instagram. The facial recognition smart glasses concept hinged on the Meta AI app, which links the glasses to a smartphone and processes camera feeds. While the feature was never publicly announced, its presence in the app’s code signaled how far Meta was willing to explore smart glasses surveillance before users or regulators were brought into the conversation.
WIRED’s Discovery and Meta’s 24-Hour Code Purge
The controversy erupted when WIRED examined the Meta AI companion app and found dormant but explicit code related to facial recognition, including algorithms to convert photos of faces into biometric “faceprints.” WIRED reported that the app could, in theory, collect data on every face a wearer encountered and compare those images against a local database of facial scans. Faces that went unrecognized would be cropped, indexed, and stored on the device for future matching. Within a day of that report, Meta quietly deleted the face-recognition code from the app, targeting components explicitly labeled for that purpose. A Meta vice president of communications described the system as “purely exploratory” and insisted that “no final decision has been made on what to do here, if anything.” Yet Meta declined to answer detailed questions about how such a database would work or what would happen to unrecognized faces.
How Name Tag Was Meant to Work—and Why It Spooked Advocates
The Name Tag system was designed to sit in the background of Meta’s Ray-Ban smart glasses experience and add a real-time identity layer to the physical world. Code uncovered by WIRED suggested the glasses’ cameras would send images to the Meta AI app, which would create biometric signatures and compare them with a library of profiles stored locally. Over time, that database could grow as the system stored new faces it failed to recognize. Earlier reports about internal Meta planning described two possible modes: one limited to people already connected to the user, and another that could identify anyone with a public social media account. That prospect alarmed more than 70 advocacy organizations, which warned Meta that facial recognition smart glasses could help stalkers and abusers identify strangers in public. Their concern was that wearable privacy concerns intensify when cameras become always-on ID systems rather than simple recording tools.
Why Meta’s Facial Recognition Removal Matters for Wearable Tech
Meta’s rapid facial recognition removal sends a signal about where the line may be forming for always-on camera devices. Even though the Name Tag code had not been activated, its quiet inclusion—and even quieter deletion after media scrutiny—shows how easily smart glasses surveillance capabilities can be hidden inside companion apps. Meta’s refusal to clarify whether the feature might return leaves users guessing about future updates that could reshape Meta Ray-Ban privacy expectations overnight. For regulators already debating limits on biometric tracking, this episode offers a concrete example of how consumer AR products could normalize face scanning in public spaces. For users, it highlights the need to scrutinize permissions, data storage practices, and the gap between what companies market and what their code can do. The incident will likely influence how future wearable devices approach opt-in consent, face data retention, and transparency around experimental AI features.
