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[GitHub Trending] ruvnet/RuView

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WiFi-based spatial intelligence, novel but tangential to AI/ML agents and cloud infrastructure.

DevTools github.com
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. - ruvnet/RuView
Summary

RuView turns ordinary WiFi into a spatial intelligence system by capturing Channel State Information (CSI) from low-cost ESP32 sensors ($9 per node) to detect people through walls, measure breathing and heart rate, and recognize activities—all without cameras or wearables. It ships 21 entities per node (including inferred states like someone-sleeping, fall-risk-elevated, and multi-room-transition) and integrates natively with Home Assistant, Apple Home, Google Home, and Alexa via MQTT, HAP-1.1, or Matter bridge. The platform includes a MetaHarness AI operator for guided calibration and verification, runs entirely on edge hardware with no cloud dependency, and supports camera-free 17-keypoint pose estimation from WiFi CSI.

Author

ruvnet