Meta's Smart Glasses Prototype Included Face Recognition from a Pentagon-Linked Firm

Meta's Face Recognition Prototype: A Closer Look

Meta has been quietly testing face recognition software developed by Rank One Computing, a Denver-based company with significant ties to U.S. intelligence and defense sectors. This move marks a notable step in the integration of advanced surveillance tools into consumer-facing devices like Meta's smart glasses.

"There's a long history of military technologies becoming consumer products," says Joseph Jerome, a former Meta Reality Labs policy official. "That's arguably the story of the internet."

The software in question was included in an internal version of Meta's AI app, which powers its Ray-Ban and Oakley smart glasses. Though the system never went live for consumers, it was present in code shipped to millions of users—albeit dormant.

Rank One: A Company with Government Ties

Founded in 2015 by engineers who had previously worked at Noblis, a nonprofit research institute focused on national security, Rank One Computing has quickly built a strong reputation in government circles. The company is now publicly traded on the Nasdaq and generates approximately 80% of its revenue from government clients.

• Its leadership includes former high-ranking officials such as a CIA deputy director for science and technology and a former FBI science chief.
• Rank One's software has been used by U.S. Marshals Service, Naval Criminal Investigative Service, and various police departments across the U.S.
• The company also developed long-range face recognition tools under a contract with U.S. Special Operations Command, enabling facial identification from up to a kilometer away.

Meta's Silence on the Matter

Despite the significant implications of this partnership, Meta declined to comment on its relationship with Rank One. No official statement was issued regarding when the arrangement began or whether it continues today.

While Meta removed all face recognition features from its app on June 5—just one day after WIRED published an initial report—code for Rank One's system remained in the software until that point, suggesting a prolonged period of development and internal testing.

The Broader Implications

This case highlights how the lines between government surveillance and consumer technology continue to blur. Companies like Meta are increasingly integrating systems that were once exclusive to law enforcement or military use into everyday devices—raising critical questions about privacy, consent, and oversight.

"Consumer-facing companies clearly crave access to high-powered facial recognition technology," said Eric Null, director of the Privacy and Data Project at the Center for Democracy and Technology. "And without proper checks, the risks of this tech becoming a common consumer product are significant and largely unbounded."

Demographic Bias in Facial Recognition Algorithms

The accuracy of Rank One's algorithms has been scrutinized by government research institutions. According to data from the National Institute of Standards and Technology (NIST), the company's software demonstrated higher error rates when identifying individuals based on gender and country of birth. Specifically, false matches were more frequent among women and people born in regions outside Eastern Europe.

These findings are particularly concerning given that face recognition systems have already been linked to numerous civil rights violations in policing contexts. As Meta moves toward making such technologies available to the general public, the potential for harm increases dramatically without robust safeguards.

Legal and Ethical Considerations

In the United States, there is currently a patchwork of laws governing facial recognition use, with some states requiring warrants for law enforcement access. However, consumer-facing companies operate in a regulatory gray zone that allows for limited oversight.

This situation places immense pressure on tech firms to self-regulate and implement strong ethical frameworks before rolling out powerful surveillance capabilities to mass markets.

Looking Ahead

Meta's exploration of face recognition technology in smart glasses may signal a broader trend within the industry. As companies seek to leverage cutting-edge tools, they must grapple with both technical feasibility and moral responsibility.

The inclusion of Rank One's software—despite its government connections and known limitations—highlights the urgent need for transparency and accountability in tech development. It also underscores how deeply embedded these systems have become in our digital lives.