Every WiFi signal in your home is already bouncing off you, your walls, and your furniture — carrying a fingerprint of the entire room. RuView is the open-source project (76,200+ GitHub stars, MIT license, written in Rust) that decodes those reflections in real time.
What it can do:
• Presence + occupancy detection THROUGH walls (under 1ms latency)
• Breathing 6–30 BPM · heart rate 40–120 BPM
• 17-keypoint body pose (built on Carnegie Mellon DensePose-From-WiFi research)
• Fall detection under 200ms — no camera in the bedroom or bathroom
• Runs on a $9 ESP32-S3 sensor · Docker one-command setup
Real-talk qualifier: pose tracking is NOT yet camera-grade. Parts of the repo are still experimental. Treat this as a promising foundation, not a finished consumer product.
🔗 RuView repo: https://github.com/ruvnet/RuView
📄 Free PDF guide (install steps, business angles, real numbers): pinned in comments
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