Building a wearable AI that processes everything on-device (no stored video). What would you want to verify?

Reddit r/artificial / 4/12/2026

💬 OpinionSignals & Early TrendsIdeas & Deep Analysis

Key Points

  • The post describes a clip-on wearable AI that uses on-device computer vision to produce real-time “social + environment” signals such as attention/glances, gesture cues, and basic emotion indicators, with configurable sensing modes (e.g., noise/air quality).
  • The author emphasizes a privacy-first architecture where video frames are processed locally and discarded immediately, with no photo library, video archive, or delayed uploads.
  • The main request to readers is what specific evidence or verification steps would be required to credibly trust the claim that no frames are stored.
  • The discussion is framed as a privacy and security problem—turning the wearable into a “sensor” rather than a camera—and implicitly calls for technical auditing/attestation approaches.

I’m working on a clip-on wearable AI that uses computer vision to generate real-time “social + environment” signals (attention/glances, basic emotion cues, gestures, plus things like noise/air quality depending on the mode).

The part I’m most focused on is privacy architecture: the device processes frames locally and discards them instantly. No photo library, no video archive, no “upload later.” It’s meant to behave more like a sensor than a camera.

Questions for people who care about privacy and security: What would you personally need to see to believe “no frames are stored” is true?

submitted by /u/Regular-Paint-2363
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