Meta plans facial recognition for Ray-Ban smart glasses
Meta is reportedly developing facial recognition technology called 'super sensing' for future Ray-Ban smart glasses expected to launch in 2026, which would scan and identify people without their consent. The company has updated its privacy policies to make data collection the default, and Harvard researchers demonstrated that similar technology can already identify strangers and retrieve personal information.
What happened
Meta is reportedly developing facial recognition capabilities for future versions of its Ray-Ban smart glasses, with an internal initiative called 'super sensing' expected to launch in 2026.
The facial recognition system would scan and identify people in the wearer's field of view without their knowledge or consent, potentially using data from Meta's social networks (Facebook, Instagram, WhatsApp) and public databases to display information such as names of strangers.
Meta updated its privacy policies in the United States so that AI integrated in its current smart glasses is activated by default, meaning users can no longer refuse that the company stores their audio and visual recordings.
Reported impact
Individuals scanned would have no means to oppose their identification, as the company has made this the default setting.
A demonstration by two Harvard students showed how existing technology can enable real-time facial recognition using Meta's Ray-Ban smart glasses by combining the glasses with public databases and face-search engines to identify strangers and retrieve personal information such as telephone numbers or addresses.
Index analysis
The technology represents a shift from Meta's previous stated position that it avoided facial recognition on smart glasses for privacy protection reasons.
The capability builds on existing 'Live AI' features already present in current Ray-Ban smart glasses, which can identify objects and places but do not support facial recognition.
Governance controls
Meta previously considered adding facial recognition to earlier smart glasses models but did not implement the feature at that time.
Classification
Sources and evidence
Sources not yet published
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