Privacy Infrastructure for Smart Glasses

Build smart glasses apps without privacy concerns.

Smart glasses apps face privacy hurdles. This real-time privacy filter sits between the camera and the app, automatically ensuring compliance.

How it works: Replace your raw camera feed with our filtered stream. The filter processes live video, applies privacy protections, and outputs a compliant stream in real time. Use this processed stream for AI apps, social apps, or anything else.

Features:

• Anonymizes faces of non-consenting individuals (configurable: blur or solid ellipse masking)
• Manages consent (e.g., detects verbal consent such as "I consent to be captured" and remembers it)
• Real-time processing – 720p 30fps on laptop
• 100% offline – no cloud dependencies
• Recording

Developer-friendly:

• Easy camera replacement
• RTMP input / multiple output formats
• HTTP API for control

Demo

demo.mp4

Using a smartphone as the camera. Smart glasses demos here and here.

Tech Stack

Runs offline on a laptop. Built with FFmpeg (stream decode/encode), OpenCV (face detection/anonymization), Faster Whisper (voice transcription), and Phi-3.5 Mini (LLM for consent detection).

Quick Start

See the backend README, example app README, and CLAUDE.md for technical details.

Use Cases

Works with any camera-based app, for example:

• AI Assistants – Memory augmentation without privacy risks
• Social Apps – Live streaming with automatic protection
• Enterprise – Compliant workplace recording
• Content Creation – Automatic face anonymization for vlogs

Roadmap

This project is under active development.

• Integration guides for various smart glasses
• Additional privacy filters (text, objects)
• Speech anonymization
• Location-based auto shutoff
• Legal compliance templates
• VLM integration
• Active speaker detection
• More input protocols (currently RTMP)
• Deployment guide
• etc.

Contributing

Feedback, questions, and contributions are welcome.