# RuView mmWave Radar Setup

Sets up 60 GHz and 24 GHz mmWave radars for presence, breathing and heart rate sensing.

- Repository: https://github.com/ruvnet/RuView (101983 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add ruvnet/RuView --skill ruview-mmwave -g -a claude-code -y`
Codex: `npx skills add ruvnet/RuView --skill ruview-mmwave -g -a codex -y`
Cursor: `npx skills add ruvnet/RuView --skill ruview-mmwave -g -a cursor -y`
Gemini CLI: `npx skills add ruvnet/RuView --skill ruview-mmwave -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add ruvnet/RuView`

## Description

Set up and run RuView mmWave / FMCW radar sensing, ESP32-C6 + Seeed MR60BHA2 (60 GHz, heart rate / breathing rate / presence) and HLK-LD2410 (24 GHz, presence + distance), plus mmWave↔WiFi-CSI sensor fusion (48-byte fused vitals, MR60BHA2/LD2410 auto-detect, v0.5.0+). Use when the deployment includes a millimetre-wave radar alongside or instead of WiFi CSI.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# RuView mmWave / FMCW Radar

The radio side-channel: 60 GHz and 24 GHz FMCW radar, standalone and fused with WiFi CSI.

## Hardware

| Device | Port | Band | Provides | ~Cost |
|--------|------|------|----------|-------|
| ESP32-C6 + Seeed MR60BHA2 | COM4 (typical) | 60 GHz FMCW | Heart rate, breathing rate, presence | ~$15 |
| HLK-LD2410 |, | 24 GHz FMCW | Presence + distance (gated zones) | ~$3 |

The C6 is RISC-V and can run the radar pipeline; it is **not** a WiFi-CSI node (use an ESP32-S3 for CSI). LD2410 is a UART module wired to a host or to the C6.

## 1. Firmware with mmWave fusion (v0.5.0+)

The ESP32 firmware auto-detects an attached MR60BHA2 or LD2410 and emits **48-byte fused vitals** records (CSI-derived + radar-derived, reconciled). Binary is ~12 KB larger than the CSI-only build. Build/flash as in `ruview-hardware-setup` (Windows: Python-subprocess; ESP-IDF v5.4 ≠ Git Bash). Recommended stable firmware tag: `v0.5.0-esp32` or later, see `docs/user-guide.md` release table.

```bash
# Provision the radar/fusion node (same provision.py; the firmware probes for the radar on boot)
python firmware/esp32-csi-node/provision.py --port COM8 --ssid "WiFi" --password "secret" --target-ip 192.168.1.20
# Confirm: serial monitor should report which radar was detected and start emitting fused vitals
```

## 2. mmWave ↔ WiFi-CSI fusion bridge (host side)

```bash
python scripts/mmwave_fusion_bridge.py            # bridges radar HR/BR + CSI → unified spatial model
node scripts/passive-radar.js                     # passive-radar style processing for exploration
```

The 3D point-cloud demo fuses **camera depth (MiDaS) + WiFi CSI + mmWave radar** → unified spatial model (~22 ms pipeline, 19K+ pts/frame; ADR-094). Drive it with `scripts/mmwave_fusion_bridge.py` plus the point-cloud front-end.

## 3. Standalone radar use

The rest: https://github.com/ruvnet/RuView/blob/HEAD/plugins/ruview/skills/ruview-mmwave/SKILL.md