Meta tests Super Sensing AI glasses that record your day

Meta is prototyping AI-powered glasses with a feature called Super Sensing that continuously records the wearer's surroundings using cameras and microphones. The glasses would constantly capture audio and snap photos every few seconds, according to multiple people familiar with the project.

What is Super Sensing?

Super Sensing is a mode in Meta's prototype glasses that continuously records the world around the wearer using onboard cameras and microphones, snapping photos every few seconds and constantly capturing audio. The idea is for the glasses to build up context throughout the day so a companion AI can recall items of what the wearer saw or heard.

Super Sensing extends the concept Meta previewed with Live AI at Connect 2025, aiming to accumulate first-person context over time and use earlier information to assist users with tasks.

How would the glasses capture and use data?

The prototype's sensors are cameras and microphones that record the wearer's surroundings, snapping photos every few seconds and continuously recording audio; captured signals would be available for an AI to recall or assist with tasks. Meta is also considering using the collected data to train its own AI models.

The project follows Meta's Project Aria research program, which has been collecting first-person data for AI systems for years. The company declined to comment on internal prototypes but pointed to its privacy-focused technology. Plans around the Super Sensing mode could still change.

What are the privacy concerns?

Super Sensing would not activate the LED indicator light that current Ray-Ban smart glasses use, meaning bystanders would have no way of knowing when they were being filmed. That change has already sparked internal debate inside Meta over privacy and how the mode should work.

Bystander awareness is a concrete design difference from Meta's current Ray-Ban smart glasses, where an LED serves as a visible recording indicator. The absence of such an indicator in Super Sensing is a central point of contention because recording would be continuous rather than occasional.

Why it matters

An always-on device that snaps photos every few seconds and constantly records audio shifts where context for an AI comes from: continuous first-person capture rather than intermittent user-triggered moments. That changes the balance among user convenience, bystander notice, and the volume of personal data available for model training.

Meta's existing research with Project Aria and the Live AI preview at Connect 2025 show the company is already exploring first-person data as a source of contextual signals. If Super Sensing moves forward without visible indicators and the company uses the data to train models, the scope of data collection and downstream use could increase substantially.

What to watch

Watch whether Meta changes the LED indicator plan and whether the company implements strict limits on using the collected data for model training. Also watch any public rollouts or statements following Connect 2025 previews and updates to Project Aria, since the company has said plans could still change.