RuView is an edge AI perception system that uses WiFi signals to detect human pose, vital signs (breathing and heart rate), and presence in real-time without cameras or wearables. Analyzes Channel State Information from WiFi routers via ESP32 mesh network. Runs entirely on edge devices costing $8-54 per deployment. Includes 60+ WASM-based modules for healthcare, retail, security, and robotics applications. Full Rust rewrite delivers 54,000 frames/second processing.
git clone https://github.com/ruvnet/RuView.git
# Deploy with Docker
docker run -d --network host \
ruvnet/ruview:latest
# ESP32 mesh setup
ruview mesh init --nodes 3
ruview mesh calibrate
# Start monitoring
ruview sense --mode vitals \
--output dashboard