Meta Licensed Pentagon Supplier's Face Recognition for Smart Glasses
Meta tested facial recognition software from Rank One Computing, a defense contractor, in its Ray-Ban smart glasses app before removing the dormant system.
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The Licensing Deal
Meta obtained a software license from Rank One Computing, a Denver-based surveillance-technology vendor, to test facial recognition on its Ray-Ban and Oakley smart glasses, according to Wired. According to Wired, the license authorizes use of Rank One’s face recognition alongside its liveness-detection capability—a system that distinguishes between a live face and a photograph or mask—and supports up to 10 million facial templates. Wired reports that the license remains active.
The arrangement, documented in a software license obtained by Wired, marks the first known business relationship between Meta and Rank One. However, according to Wired, Meta declined to comment on the relationship, declining to answer questions about why it licensed the software, when the relationship began, or whether it is ongoing.
Rank One’s Government Customer Base
Rank One derives roughly 80 percent of its revenue from government clients, according to Wired. The company’s customer list includes the US Marshals Service, which according to Wired uses Rank One’s face recognition to confirm prisoner identities without fingerprinting during transport, and the Naval Criminal Investigative Service, which according to Wired purchased the company’s video-analysis tool called ROC Watch.
According to Wired, Rank One developed long-range face recognition for US Special Operations Command under a government research contract, with software capable of identifying a face from as far as one kilometer away. Police departments across the country embed Rank One’s algorithms in tools purchased from other vendors, Wired reports.
Dormant Code and Deletion
According to Wired, the face-recognition systems tied to Meta’s smart glasses were never active for users. Code reviewed by Wired shows that remnants of Rank One’s integration remained dormant in a version of Meta’s app shipped in June to more than 50 million phones, coexisting alongside Meta’s own face-recognition system. According to Wired, Meta deleted the face-recognition systems from the app on June 5, one day after Wired revealed that Meta had built an unreleased face-recognition system internally called NameTag into the Meta AI app.
Why This Matters
The discovery illustrates a blurring boundary between defense-sector surveillance infrastructure and consumer hardware. Rank One’s client list—spanning federal law enforcement, military special operations, and municipal police—demonstrates how facial recognition technology developed for state surveillance reaches the same algorithmic foundation as systems intended for mass-market devices. Even dormant code in a shipped app raises questions about Meta’s integration roadmap: was the Rank One license a temporary experiment, a contingency, or evidence of planned features? The company’s silence on timing and intent leaves ambiguity about whether the removal was preventive or reactive to Wired’s reporting. For smart-glasses users and privacy advocates, the episode signals that facial recognition in wearables remains under active exploration by major platforms, even when public rollout remains uncertain.
Frequently Asked Questions
Did Meta actually deploy face recognition on Ray-Ban smart glasses?
No. According to Wired, the face-recognition systems remained dormant and inaccessible to users. Meta removed the dormant code on June 5, a day after Wired reported on the NameTag system.
Why would Meta license face recognition from a defense contractor?
Wired does not disclose Meta's stated rationale. Meta declined to answer questions about its relationship with Rank One Computing, including why it licensed the software or when the relationship began.
What does Rank One Computing do?
According to Wired, Rank One derives roughly 80% of revenue from government clients including the US Marshals Service, the Naval Criminal Investigative Service, and police departments nationwide. The company developed long-range face recognition for US Special Operations Command.