diff --git a/README.md b/README.md index 8ce0a9a2..dd2cbd8b 100644 --- a/README.md +++ b/README.md @@ -11,18 +11,13 @@

-> **Beta Software** — Under active development. APIs and firmware may change. Known limitations: -> - ESP32-C3 and original ESP32 are not supported (single-core, insufficient for CSI DSP) -> - Single ESP32 deployments have limited spatial resolution — use 2+ nodes or add a [Cognitum Seed](https://cognitum.one) for best results -> - Camera-free pose accuracy is limited (PCK@20 ≈ 2.5% with proxy labels) — [camera ground-truth training](docs/adr/ADR-079-camera-ground-truth-training.md) targets **35%+ PCK@20**; the pipeline is implemented, but the data-collection and evaluation phases (ADR-079 P7–P9) are still pending. -> -> Contributions and bug reports welcome at [Issues](https://github.com/ruvnet/RuView/issues). - ## **See through walls with WiFi** ## **Turn ordinary WiFi into a spatial intelligence / sensing system.** Detect people, measure breathing and heart rate, track movement, and monitor rooms — through walls, in the dark, with no cameras or wearables. Just physics. -![Works with Home Assistant](https://img.shields.io/badge/Works%20with-Home%20Assistant-blue?logo=home-assistant&logoColor=white&labelColor=41BDF5) ![Works with Matter](https://img.shields.io/badge/Works%20with-Matter-blue?labelColor=4285F4) ![Works with Apple Home](https://img.shields.io/badge/Works%20with-Apple%20Home-black?logo=apple) [![HomePod Integration](https://img.shields.io/badge/HomePod%20Integration-Native%20HAP-black?logo=apple)](docs/user-guide-apple-homepod.md) ![Works with Google Home](https://img.shields.io/badge/Works%20with-Google%20Home-blue?logo=googlehome) +Works natively with the four major smart-home ecosystems: **[Home Assistant](docs/integrations/home-assistant.md)** via the HA-DISCO MQTT publisher, **[Apple Home & HomePod](docs/user-guide-apple-homepod.md)** as a discoverable HAP-1.1 bridge, **[Google Home](docs/integrations/home-assistant.md)** + **[Amazon Alexa](docs/integrations/home-assistant.md)** via the same HA bridge or a [Matter](docs/adr/ADR-122-bfld-ruview-ha-matter-exposure.md) endpoint. Siri, Google Assistant, and Alexa can voice presence and vitals by room with zero custom skills. + +[![Works with Home Assistant](https://img.shields.io/badge/Works%20with-Home%20Assistant-blue?logo=home-assistant&logoColor=white&labelColor=41BDF5)](docs/integrations/home-assistant.md) [![Works with Matter](https://img.shields.io/badge/Works%20with-Matter-blue?labelColor=4285F4)](docs/adr/ADR-122-bfld-ruview-ha-matter-exposure.md) [![Works with Apple Home](https://img.shields.io/badge/Works%20with-Apple%20Home-black?logo=apple)](docs/user-guide-apple-homepod.md) [![Works with Google Home](https://img.shields.io/badge/Works%20with-Google%20Home-blue?logo=googlehome)](docs/integrations/home-assistant.md) [![Works with Alexa](https://img.shields.io/badge/Works%20with-Alexa-blue?logo=amazon&logoColor=white&labelColor=00CAFF)](docs/integrations/home-assistant.md) > Drop into any **Home Assistant** install with one `--mqtt` flag. Or pair into **Apple Home / Google Home / Alexa / SmartThings** as a Matter Bridge. Ships 21 entities per node (11 raw signals + 10 inferred semantic states: someone-sleeping, possible-distress, room-active, elderly-inactivity-anomaly, meeting-in-progress, bathroom-occupied, fall-risk-elevated, bed-exit, no-movement, multi-room-transition) plus 3 starter HA Blueprints. See [`docs/integrations/home-assistant.md`](docs/integrations/home-assistant.md) · [ADR-115](docs/adr/ADR-115-home-assistant-integration.md). @@ -607,6 +602,15 @@ Verify the plugin structure: `bash plugins/ruview/scripts/smoke.sh`. Full detail --- +## 🚧 Beta software + +> **Beta Software** — Under active development. APIs and firmware may change. Known limitations: +> - ESP32-C3 and original ESP32 are not supported (single-core, insufficient for CSI DSP) +> - Single ESP32 deployments have limited spatial resolution — use 2+ nodes or add a [Cognitum Seed](https://cognitum.one) for best results +> - Camera-free pose accuracy is limited (PCK@20 ≈ 2.5% with proxy labels) — [camera ground-truth training](docs/adr/ADR-079-camera-ground-truth-training.md) targets **35%+ PCK@20**; the pipeline is implemented, but the data-collection and evaluation phases (ADR-079 P7–P9) are still pending. +> +> Contributions and bug reports welcome at [Issues](https://github.com/ruvnet/RuView/issues). + ## 📄 License MIT License — see [LICENSE](LICENSE) for details.