// Configure RuView — ESP32 sdkconfig variants, NVS provisioning, WiFi channel / MAC filter overrides (ADR-060), edge intelligence modules (ADR-041), sensing-server flags, multi-node mesh, and Cognitum Seed integration. Use when adjusting how a deployed RuView system behaves without changing code.
Advanced RuView capabilities — RuvSense multistatic sensing (attention-weighted fusion, geometric diversity, persistent field model), cross-viewpoint fusion across multiple nodes, RF tomography (ISTA L1 solver, voxel grids), longitudinal biomechanics drift, pre-movement intention signals, adversarial signal detection, and multistatic mesh security hardening. Use for research-grade or multi-node deployments.
Run RuView sensing applications — presence/occupancy, breathing & heart rate, activity & fall detection, 17-keypoint pose estimation (WiFlow), sleep monitoring & apnea screening, environment mapping, Mass Casualty Assessment (MAT), and the 3D point-cloud fusion demo. Use when someone wants to actually *do* something with a working RuView setup.
Use the RuView `wifi-densepose` CLI binary (incl. MAT scan/status/zones/survivors/alerts/export subcommands), the REST API (`wifi-densepose-api`, Axum), and the browser/WASM build (`wifi-densepose-wasm`, `wifi-densepose-wasm-edge`). Use when integrating RuView into another program, scripting it from the shell, exposing it over HTTP, or shipping it to the browser / ESP32-WASM3.
ESP32-S3 / ESP32-C6 firmware build, flash, WiFi provisioning, and serial monitoring for RuView CSI sensing nodes. Use when setting up physical hardware, reflashing a node, or debugging a device that isn't streaming CSI.
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.
Train RuView models — camera-free WiFlow pose (10 sensor signals, no labels), camera-supervised pose (MediaPipe + ESP32 CSI → 92.9% PCK@20, ADR-079), RuVector contrastive embeddings (AETHER, ADR-024), domain generalization (MERIDIAN, ADR-027), local SNN environment adaptation, plus GPU training on GCloud and Hugging Face publishing. Use when building, fine-tuning, evaluating, or shipping a model.
| name | ruview-configure |
| description | Configure RuView — ESP32 sdkconfig variants, NVS provisioning, WiFi channel / MAC filter overrides (ADR-060), edge intelligence modules (ADR-041), sensing-server flags, multi-node mesh, and Cognitum Seed integration. Use when adjusting how a deployed RuView system behaves without changing code. |
| allowed-tools | Bash Read Write Edit Glob Grep |
Everything you can tune in a RuView deployment, from a one-line provision flag to a full mesh + Cognitum Seed setup.
| Variant | File | When |
|---|---|---|
| 8MB (default) | firmware/esp32-csi-node/sdkconfig.defaults.template | ESP32-S3 8MB, full feature set, real WiFi CSI |
| 4MB | firmware/esp32-csi-node/sdkconfig.defaults.4mb | ESP32-S3 SuperMini 4MB — display disabled, dual OTA slots (partitions_4mb.csv, ~1.856 MB each) |
| Heltec N16R2 | firmware/esp32-csi-node/sdkconfig.defaults.heltec_n16r2 | Heltec boards |
Switch: cp firmware/esp32-csi-node/sdkconfig.defaults.<variant> firmware/esp32-csi-node/sdkconfig.defaults, then rebuild (see ruview-hardware-setup). Never test in mock mode — the Kconfig fall-threshold bug only showed up with real CSI.
provision.py writes the csi_cfg NVS namespace over the serial port. Run python firmware/esp32-csi-node/provision.py --help for the authoritative flag list (on Windows force PYTHONUTF8=1 PYTHONIOENCODING=utf-8 — the help text contains non-ASCII and crashes under cp1252).
python firmware/esp32-csi-node/provision.py --port COM8 \
--ssid "WiFi" --password "secret" \
--target-ip 192.168.1.20 --target-port 5005 \ # aggregator UDP sink (port default 5005)
--node-id 1 \ # 0-255
--channel 6 --filter-mac AA:BB:CC:DD:EE:FF # ADR-060: pin channel + filter transmitter
| Flag group | Flags | Notes |
|---|---|---|
| WiFi / sink | --ssid --password --target-ip --target-port (5005) --node-id | --node-id 0-255 |
| TDM mesh | --tdm-slot --tdm-total | 0-based slot index + total node count — this is how multi-node mesh is slotted |
| Edge processing | --edge-tier {0,1,2} | 0=off, 1=stats, 2=vitals (ADR-041) |
| Detection thresholds | --pres-thresh (50) --fall-thresh (15000 → 15.0 rad/s²) | raise --fall-thresh to cut false falls in high-traffic areas (issue #263) |
| Vitals | --vital-win (300 frames) --vital-int (1000 ms) --subk-count (32, top-K subcarriers) | |
| Channel / hopping | --channel (1-14 / 36-177, overrides AP auto-detect) --filter-mac --hop-channels (1,6,11) --hop-dwell (200 ms) | omit --channel + set --hop-channels for ADR-061 multi-freq hopping; omit --filter-mac to capture all transmitters |
| Cognitum Seed | --seed-url (http://10.1.10.236) --seed-token (Bearer, from pairing) --zone (lobby) | |
| Swarm | --swarm-hb (30 s) --swarm-ingest (5 s) | heartbeat + vector ingest intervals |
| Mode | --dry-run (build NVS bin, don't flash) --baud (460800) --force-partial |
⚠️ NVS namespace is replaced wholesale (issue #391). Flashing rewrites the entire
csi_cfgnamespace — any key you don't pass on the CLI is erased. Always pass the full set you want, or use--force-partialknowingly. Read the device's current values off the serial boot log first (adaptive_ctrl/csi_collectorlines) if you're unsure.
scripts/generate_nvs_matrix.py (subprocess-first — the esp_idf_nvs_partition_gen API changed across versions).cd v2
cargo run -p wifi-densepose-sensing-server -- --help
# Common modes:
cargo run -p wifi-densepose-sensing-server # live sink, default port
cargo run -p wifi-densepose-sensing-server -- --pretrain --dataset data/csi/ --pretrain-epochs 50
cargo run -p wifi-densepose-sensing-server -- --train --dataset data/mmfi/ --epochs 100 --save-rvf model.rvf
cargo run -p wifi-densepose-sensing-server -- --model model.rvf --embed
cargo run -p wifi-densepose-sensing-server -- --model model.rvf --build-index env
wifiscan server (multi-BSSID, ADR-022): cargo run -p wifi-densepose-sensing-server consumes wifi-densepose-wifiscan output; use neighbour APs as free radar illuminators.
Small Rust/WASM programs that run on the ESP32 itself — no internet, instant response. See docs/edge-modules/ and docs/adr/ADR-041-*. Each module declares its CSI feature inputs (8-dim feature vectors) and an RVF store target (Cognitum Seed). Configure which modules ship in a build via the firmware component config; configure their thresholds via NVS keys.
Helper scripts that mirror edge-module logic on the host (useful for tuning before flashing):
scripts/apnea-detector.js, gait-analyzer.js, material-classifier.js, passive-radar.js, mincut-person-counter.js, device-fingerprint.js, mesh-graph-transformer.js, material-detector.js.
--target-ip sink.wifi-densepose-hardware (v2/crates/wifi-densepose-hardware/src/esp32/).ruview-advanced-sensing.ESP32 streams CSI → bridge forwards to a Cognitum Seed for persistent RVF memory, kNN over environments, and an Ed25519 witness chain.
node scripts/rf-scan.js --port 5006 # live RF room scan → Seed
node scripts/snn-csi-processor.js --port 5006 # SNN real-time learning on-Seed
See docs/tutorials/cognitum-seed-pretraining.md and ADR-028 (capability audit + witness verification).
wifi-densepose-api (Axum) — config via wifi-densepose-config crate; see example.env / pyproject.toml for the v1 Python service.docker run -p 3000:3000 ruvnet/wifi-densepose:latest (env-var overrides documented in README.md / docker/).:3000; nvsim dashboard (ADR-092) is separate.docs/adr/ (96 ADRs) — esp. ADR-022 (wifiscan), ADR-028 (capability audit), ADR-041 (edge modules), ADR-060 (channel/MAC override), ADR-061 (QEMU + mesh), ADR-081 (adaptive CSI mesh kernel)CLAUDE.md / CLAUDE.local.md — crate map, build env, QEMU CI fixesexample.env, Makefile, firmware/esp32-csi-node/