Tool Open source
RuView is an open-source Wi-Fi sensing platform from ruvnet that uses Channel State Information (CSI) captured by low-cost ESP32 sensors to turn disturbances in radio waves into spatial data. It detects presence and occupancy through walls, estimates breathing and heart rate without contact, recognizes activities such as walking, sitting, gestures, and falls, and uses RF fingerprinting to identify rooms and environmental changes. The platform also supports camera-free pose estimation, CSI recording and model training, and loading RVF and LoRA profiles.
RuView can publish sensing data to Home Assistant through MQTT and integrate with Apple Home, Google Home, Amazon Alexa, and SmartThings through supported bridges and Matter. Its repository also documents local automation, room-level semantic states, and the RuView MetaHarness, an AI-assisted workflow for onboarding, calibration, training, verification, and checking sensing claims.
2 uses taken from transcripts — each links to the moment in the video.
An open-source Wi-Fi sensing platform that uses radio signals from ESP32 nodes to detect presence, estimate breathing and heart rate, recognize activity, and fingerprint rooms without cameras or wearables.
Uses Wi-Fi channel-state information from low-cost ESP32 sensors for contactless sensing of occupancy, breathing, heart rate, falls, and sleep. It runs on edge hardware without cloud services and supports smart-home integration.
2 in the library.