getnopeek

getnopeek / nopeek-android

Public

Real-time Bluetooth scanner that detects nearby smart glasses and VR headsets — know before you're recorded

android android-app ble bluetooth camera-detec
11
0
85% credibility
Found May 27, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Kotlin
AI Summary

NoPeek is an Android app that helps protect your privacy by scanning for nearby smart glasses and VR headsets that might be recording you without your knowledge. It uses Bluetooth signals to detect devices like Meta Ray-Ban glasses, Snap Spectacles, Apple Vision Pro, Meta Quest, and other camera-capable wearables. When it finds one, it alerts you with vibration, sound, and a notification — even showing you roughly how far away the device is. The app runs entirely on your phone with no internet connection, no accounts, and no tracking. You can also set it to scan quietly in the background while you go about your day, alerting you only if a threat appears.

How It Works

1
😟 You hear about smart glasses that record secretly

You learn that devices like Meta Ray-Ban glasses look just like regular glasses but can record video and audio without you knowing.

2
📱 You download NoPeek and open it

You install the app on your Android phone and launch it for the first time. Everything is ready to protect your privacy.

3
🔵 You give permission to scan nearby devices

The app asks for Bluetooth access so it can listen for nearby wireless signals. This is how it finds hidden recording devices.

4
🔍 You tap 'Start scan' and watch the screen

The app sweeps the area and shows every Bluetooth device it finds — your earbuds, your laptop, your friend's phone — all listed on screen.

5
The scan finishes
✅
No recording devices found

You see only your own devices. The status shows green and says you're safe — no smart glasses or VR headsets detected.

🚨
A smart glasses or VR headset is detected

An alert pops up with vibration and sound. The app shows you exactly what device was found, how close it is, and which company made it.

6
📋 You check your detection history anytime

Every device the app ever detected is saved locally on your phone, with timestamps so you know exactly when it was spotted.

🛡️ You feel more aware of your surroundings

Whether you're at a café, office, or public event, you now have a way to know if someone nearby might be recording you without consent.

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AI-Generated Review

What is nopeek-android?

NoPeek is a real-time Bluetooth scanner for Android that detects nearby smart glasses and VR headsets before they can record you. Built in Kotlin, it monitors BLE signals and matches them against a database of known recording devices like Meta Ray-Ban glasses, Apple Vision Pro, Meta Quest, Snap Spectacles, and more. When a threat is detected, it alerts you with vibration, sound, and push notifications. The app runs in the background while you go about your day, storing detection history locally with no internet connection required.

Why is it gaining traction?

The privacy threat from camera-equipped eyewear is real and growing. Meta alone sold millions of smart glasses that look identical to regular glasses. This tool gives you a technical layer of awareness that didn't exist before. The detection approach is clever: it uses immutable Bluetooth company IDs as the primary signal, with name matching and MAC prefixes as secondary confirmation. This three-layer system specifically prevents false positives from your own iPhone or AirPods. The fact that it works offline and stores everything locally addresses the exact privacy concerns it claims to solve.

Who should use this?

Privacy-conscious individuals who want awareness when recording devices are nearby. Journalists meeting sensitive sources, executives discussing confidential information, or anyone in situations where covert recording is a concern. Developers building privacy-focused apps might also find the signature database and detection logic useful as a reference. It's not a complete solution—the README explicitly notes detection isn't guaranteed—but it's one more tool in the privacy toolkit.

Verdict

This is a genuinely useful concept with thoughtful engineering around false positive prevention. The credibility score of 0.85% reflects a very early-stage project with only 11 stars, minimal community validation, and no visible test coverage. The documentation is solid and the code appears well-structured, but it's not production-hardened. Worth trying if you have a legitimate privacy need, but don't rely on it as your sole defense against covert recording. Watch for community growth and third-party audits before trusting it in high-stakes situations.

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