Glasses Radar turns your phone into a pocket sensor for camera-enabled smart glasses nearby — Meta Ray-Ban, Snap Spectacles and more. No account, no guesswork. Just a clear signal when smart glasses are close enough to matter.
Why we built thisDetection is based on Bluetooth fingerprints — manufacturer IDs, byte patterns, and service signals broadcast by the hardware itself. The registry grows as new hardware is reverse-engineered and verified.
| Brand | Device | Detection method | Status |
|---|---|---|---|
| Meta | Ray-Ban Meta Smart Glasses | Manufacturer ID + byte fingerprint | Detected |
| Snap | Spectacles 4 / 5 | Service UUID | Detected |
| Envision | Envision Glasses | Manufacturer ID | Signal-only |
| TCL | RayNeo X2 | Manufacturer ID | Signal-only |
| More added as hardware is verified. Presence indicates a device is nearby — not that it is recording. | |||
Smart glasses look like ordinary eyewear and record with a light that's easy to miss — or tape over. That gap between "looks harmless" and "is recording" is already being exploited.
Camera glasses are designed to disappear into a normal face. The recording indicator is a single small LED — one that's trivially covered with tape, easy to miss across a room, and never announces the person wearing it. Nobody nearby has any reliable way to know they're on camera. That's not a bug in the design. It's the whole appeal.
You're on camera now. This is the view no one consents to.
What's below isn't hypothetical — it's already been reported.
In 2024, a pair of Harvard students paired Meta's smart glasses with facial-recognition software to identify strangers on the street in real time — pulling names, addresses and family details from a face alone, live, without the person ever knowing. It made headlines precisely because nothing about the glasses stopped it.
Tech reporters have documented communities that exist to share candid photos and video of women in public, captured on smart glasses without their knowledge — the same "looks like normal glasses" design that makes them convenient is what makes covert recording effortless.
Gyms, bars, casinos and schools have started restricting camera glasses on premises — not because the tech is illegal, but because there's currently no reliable way for a bystander to know if they're being filmed. A ban only works if it's enforceable.
This isn't a hypothetical pipeline — it's the documented path from a covert recording to a stranger's screen. Awareness at the first step is the only point where anyone gets a choice.
Under the hood, Glasses Radar listens to the same Bluetooth and Wi-Fi signals every device broadcasts — and matches them against a growing fingerprint database of known camera-glasses hardware.
Passively listens for BLE advertisements and Wi-Fi signals in range — the same broadcasts every nearby phone, headphone and wearable already sends.
Compares device signatures against a verified fingerprint registry — Meta Ray-Ban, Snap Spectacles and more — filtering out lookalikes like Quest headsets or earbuds.
Confirms the sighting is persistent (not a stray packet), estimates proximity, and notifies you the moment it's confident — near real-time, on-device.
Detection, matching, and alerting all happen on your phone. No scan data, no locations, no device logs leave the device — ever.
Open the app and it works. No email, no profile, no identifier tied to you. We have no way to know who you are — by design.
The only server interaction is downloading fingerprint updates — a read, not a write. Your phone never sends anything back.
Privacy tools should not be paywalled. Glasses Radar is free to download and use, for everyone, with no ads and no data monetisation.
Available now on iOS and Android. Free to download, no account, no data collected.
Questions? hello@glassesradar.app