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docs: add Fully Local feature to Key Features table

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Co-Authored-By: claude-flow <ruv@ruv.net>
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ruv 2026-03-03 16:53:25 -05:00
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@ -101,6 +101,7 @@ Fast enough for real-time use, small enough for edge devices, simple enough for
| ⚡ | **Real-Time** | Analyzes WiFi signals in under 100 microseconds per frame — fast enough for live monitoring |
| 🦀 | **810x Faster** | Complete Rust rewrite: 54,000 frames/sec pipeline, 132 MB Docker image, 1,031+ tests |
| 🐳 | **One-Command Setup** | `docker pull ruvnet/wifi-densepose:latest` — live sensing in 30 seconds, no toolchain needed |
| 📡 | **Fully Local** | Runs completely on a $9 ESP32 — no internet connection, no cloud account, no recurring fees. Detects presence, vital signs, and falls on-device with instant response |
| 📦 | **Portable Models** | Trained models package into a single `.rvf` file — runs on edge, cloud, or browser (WASM) |
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