Leaked Meta Roadmap Reveals Wearable Facial Recognition Plans

Several outlets report that Meta has been developing facial recognition for its smart glasses, a feature internally codenamed "Name Tag" that reporters found in Meta's app code. TechCrunch, Engadget (citing Wired's discovery of the code), and Digital Trends covered the capability in February 2026, describing a function that could identify people in a wearer's field of view and surface information about them. Meta has not officially confirmed plans to ship the feature. Separately, a leaked product roadmap detailed by geeky-gadgets outlines Meta's broader 2026 wearable lineup.

Per geeky-gadgets, the leaked roadmap lists budget "Medel" glasses, a mid-tier "Luna" with a monochrome heads-up display, a "Ray-Ban Meta 2 Refresh," and a high-end "Mojito VIP" with a waveguide display. It also describes prototypes "Artemis" and "Super Sensing Glasses" with always-on sensors, a 2027 "AI Pendant" that records and summarizes conversations, an on-device engine called "Muse Spark," and an assistant called "Hatch." Geeky-gadgets reports a target of 10 million units sold in the second half of 2026 and credits the device details to a video by The Smart Glasses Guy. These specific codenames and figures come from the single leak and are not independently confirmed.

Leaks of device roadmaps are common in consumer-hardware cycles and often surface the features that will draw the most scrutiny. Always-on sensing combined with identity matching typically triggers heightened regulatory review and public concern, especially in jurisdictions with strict biometric and data-protection laws, raising questions about consent, retention, opt-in controls, and whether matching happens on-device or in the cloud.

For product teams and privacy engineers, the reported pairing of always-on sensors and identity features implies a need to document threat models, data-minimization approaches, and clear consent and revocation flows. For security researchers, features like "Name Tag" invite assessment of attack surfaces around biometric matching and model-inversion risks in consumer wearables.

Watch for official statements from Meta, regulatory filings, and developer documentation clarifying where processing occurs, how long biometric templates are retained, and what opt-out mechanisms exist, along with independent testing from privacy researchers.