ruvnetRuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
TL;DR · 30-second scan
RuView (Rust) — π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
You are building privacy-preserving occupancy or vital-sign monitoring, exploring WiFi sensing for smart-home or eldercare, or want a hackable ESP32-based signal-processing stack in Rust.
AI & ML
The most novel privacy-first sensing project of 2026. Turns any WiFi router into a room-scale radar — detects human pose, breathing (6-30 BPM), heart rate (40-120 BPM), and occupancy through walls, using Channel State Information from $8 ESP32-S3 boards. No cameras, no wearables. Rust for the firmware + signal pipeline, Python bindings via PyO3, Candle for on-device inference. 82.69% PCK@20 SOTA on the MM-Fi pose benchmark. Ships with Home Assistant + Matter + MQTT bridges so it drops into existing smart-home stacks. Real use cases: elderly fall detection, GDPR-safe office occupancy, WiFi-Mat rubble breathing detection for disaster relief. Tradeoff is calibration — CSI is noisy and multi-band fusion needs a settle period per room. Once tuned, closest thing to "see through walls" you can DIY today.
You are building privacy-preserving occupancy or vital-sign monitoring, exploring WiFi sensing for smart-home or eldercare, or want a hackable ESP32-based signal-processing stack in Rust.
You need sub-centimeter accuracy or medical-grade certification, or you cannot tolerate a per-room calibration step.
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