Commit Graph

407 Commits

Author SHA1 Message Date
Dragan Spiridonov 728a8fd97e fix(firmware): address PR #397 review feedback
Applies @ruvnet's five review requests on PR #397 (RuView#397 comment
4289417527):

1. **Inline comment on `provision.py` `write_flash`** — ESP-IDF v5.4
   bundles esptool 4.10.0 (underscore-only). #391's hyphen swap broke
   the documented venv flow; kept the underscore form and added a
   three-line comment warning future maintainers not to "re-fix" it.

2. **Correct `edge_processing.c` sample_rate** (blocking) — changed
   hard-coded `20.0f` → `10.0f` at line 718 so
   `estimate_bpm_zero_crossing()` matches the MGMT-only CSI rate.
   Without this, breathing and heart-rate reports were 2× the true
   value. Added a comment tying the constant to the callback rate gate.

3. **Removed disabled probe-injection infrastructure** — dropped the
   forward declaration, the `CSI_PROBE_INTERVAL_MS` define, six static
   variables (`s_probe_timer`, `s_probe_tx_count`, `s_probe_tx_fail`,
   `s_ap_bssid`, `s_ap_bssid_known`), and three functions
   (`csi_send_probe_request`, `probe_timer_cb`,
   `csi_collector_start_probe_timer`). None were reachable.
   `csi_inject_ndp_frame()` reverted to the original ADR-029 stub.
   Can be revived from this commit's parent if needed.

4. **Cleaned `sdkconfig.defaults`** — removed the SPIRAM prose and
   commented-out `# CONFIG_SPIRAM is not set` line. Kept only the live
   `CONFIG_ESP_WIFI_EXTRA_IRAM_OPT=y` with a concise rationale.

5. **Bumped firmware version 0.6.1 → 0.6.2** and added four
   `[Unreleased]` CHANGELOG entries covering the SPI cache crash fix,
   the `filter_mac` / `node_id` clobber defense, the sample-rate
   correction, and the `write_flash` command-form revert.

Net: +39 / -128 across six files.

Validation in this devcontainer:
- Static sanity on modified C files: braces balance (csi_collector.c
  59/59; edge_processing.c 96/96), zero dangling references to removed
  probe-injection symbols.
- Rust workspace tests and Python proof not executed here — cargo not
  installed and pip blocked by PEP 668. Deferring hardware build +
  flash + miniterm verification to @ruvnet's COM7 per his offer in
  the review comment.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-21 15:02:14 +00:00
Dragan Spiridonov 8b60b8cfea fix(firmware): 50 Hz callback rate gate + sdkconfig extra IRAM opt
- Add early rate gate in wifi_csi_callback at 50 Hz (defense-in-depth,
  does not prevent crash alone but reduces callback execution time)
- Add null-data injection timer infrastructure (disabled — TX adds
  interrupt pressure that triggers the SPI cache crash, RuView#396)
- sdkconfig.defaults: add CONFIG_ESP_WIFI_EXTRA_IRAM_OPT=y
- sdkconfig.defaults: document SPIRAM XIP attempt (crashes differently)

Co-Authored-By: Ruflo & AQE
2026-04-16 18:12:49 +02:00
Dragan Spiridonov cddddf70a2 fix(provision): write-flash → write_flash for esptool v5 compat
esptool v5+ rejects hyphenated subcommands. The provision script
used 'write-flash' which fails with "invalid choice". Changed to
'write_flash' (underscore) which works with both old and new esptool.

Co-Authored-By: Ruflo & AQE
2026-04-16 18:12:49 +02:00
Dragan Spiridonov c7cc57d090 fix(firmware): MGMT-only promiscuous filter to prevent SPI cache crash
The WiFi driver's wDev_ProcessFiq interrupt handler crashes with
LoadProhibited in cache_ll_l1_resume_icache when promiscuous mode
captures MGMT+DATA frames (100-500 interrupts/sec). The high interrupt
rate races with SPI flash cache operations, corrupting cache state.

Changes:
- Promiscuous filter: MGMT+DATA → MGMT-only (~10 Hz beacons)
- CSI config: disable htltf_en and stbc_htltf2_en (LLTF-only)

LLTF provides 64 subcarriers (HT20) — sufficient for presence,
breathing, and fall detection. The 10 Hz beacon rate eliminates
the SPI flash cache contention that caused the crash.

Verified on device 80:b5:4e:c1:be:b8:
- Before: LoadProhibited crash at ~1600-2400 callbacks (every ~70s)
- After: 2700+ callbacks over 4.7 minutes, zero crashes

Backtrace decode confirmed crash in ESP-IDF closed-source WiFi blob:
  _xt_lowint1 → wDev_ProcessFiq → spi_flash_restore_cache
  → cache_ll_l1_resume_icache → EXCVADDR=0x00000004 (NULL deref)

Co-Authored-By: Ruflo & AQE
2026-04-16 18:12:49 +02:00
Dragan Spiridonov 77fa93a14d fix(firmware): defensive copy of filter_mac to prevent callback crash
The CSI callback reads g_nvs_config.filter_mac_set and filter_mac on
every invocation (100-500 Hz). If wifi_init_sta() corrupts g_nvs_config
(same root cause as the node_id clobber), the callback reads garbage
from the struct, leading to Core 0 LoadProhibited panic after ~2400
callbacks (~70 seconds of operation).

Extends the early-capture pattern from the node_id fix to also copy
filter_mac_set and filter_mac into module-local statics before WiFi
init runs. Adds canary logging to detect filter_mac corruption.

Observed on device 80:b5:4e:c1:be:b8 via serial:
  CSI cb #2400 → Guru Meditation Error: Core 0 panic'ed (LoadProhibited)
  → TG0WDT_SYS_RST → reboot → crash again at ~2900 callbacks

Refs #232 #375 #385 #386 #390

Co-Authored-By: Ruflo & AQE
2026-04-16 18:12:49 +02:00
Dragan Spiridonov 763d7c6653 fix(firmware): move defensive node_id capture before wifi_init_sta()
The original defensive copy in csi_collector_init() (line 172 of main.c)
runs AFTER wifi_init_sta() (line 147), which on some ESP32-S3 devices
corrupts g_nvs_config.node_id back to the Kconfig default of 1.

Reproduced on device 80:b5:4e:c1:be:b8 (ESP32-S3 QFN56 rev v0.2):
  - NVS provisioned with node_id=5
  - Release firmware (no fix): seed receives node_id=1 (clobbered)
  - This patch: seed receives node_id=5 (correct)

Changes:
  - Add csi_collector_set_node_id() called from main.c immediately
    after nvs_config_load(), before wifi_init_sta() runs
  - csi_collector_init() now detects and logs the clobber if early
    capture disagrees with current g_nvs_config value
  - Fallback path preserved: if set_node_id() is never called,
    init() still captures from g_nvs_config (backwards compatible)

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-16 18:12:49 +02:00
ruv 8914538bfe chore: bump firmware version to 0.6.1
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-16 10:38:02 -04:00
rUv 8a9e890956
Merge pull request #393 from ruvnet/fix/esp32-node-id-clobber
fix(firmware): defensive node_id capture prevents runtime clobber (#390)
2026-04-16 10:22:59 -04:00
ruv 425f0e6aac fix(firmware): defensive node_id capture prevents runtime clobber (#390)
Users on multi-node ESP32 deployments have been reporting for months
that their provisioned `node_id` reverts to the Kconfig default of `1`
in UDP frames and the `csi_collector` init log, despite boot showing:

    nvs_config: NVS override: node_id=4
    main: ESP32-S3 CSI Node (ADR-018) - Node ID: 4
    csi_collector: CSI collection initialized (node_id=1, channel=11)

See #232, #375, #385, #386, #390. The root memory-corruption path for
the `g_nvs_config.node_id` byte has not been definitively isolated
(does not reproduce on my attached ESP32-S3 running current source
and the v0.6.0 release binary), but the UDP frame header can be made
tamper-proof regardless:

1. `csi_collector_init()` now captures `g_nvs_config.node_id` into a
   module-local `static uint8_t s_node_id` at init time.
2. `csi_serialize_frame()` reads `buf[4]` from `s_node_id`, not from
   the global - so any later corruption of `g_nvs_config` cannot
   affect outgoing CSI frames.
3. All other consumers (`edge_processing.c` x3, `wasm_runtime.c`,
   `display_ui.c`, `main.c swarm_bridge_init`) now go through a new
   `csi_collector_get_node_id()` accessor instead of reading the
   global directly.
4. A canary at end-of-init logs `WARN` if `g_nvs_config.node_id`
   already diverges from the captured value - this will pinpoint
   the corruption path if it happens on a user's device.

Hardware validation on attached ESP32-S3 (COM8):
  - NVS loads node_id=2
  - Boot log: `main: ... Node ID: 2`
  - NEW log: `csi_collector: Captured node_id=2 at init (defensive
    copy for #232/#375/#385/#390)`
  - Init log: `csi_collector: CSI collection initialized (node_id=2)`
  - UDP frame byte[4] = 2 (verified via socket sniffer, 15/15 packets)

This is defense in depth - it shields the UDP frame from whatever
upstream bug is clobbering the struct. When a user hits the original
bug, the canary WARN will help isolate the root cause.

Refs #232 #375 #385 #386 #390

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-15 13:47:34 -04:00
rUv 6e015c4626
fix: provision.py esptool v5 + refuse partial NVS flashes (#391) (#392)
* fix: provision.py esptool v5 syntax + refuse partial NVS flashes (#391)

Bug 1: `write_flash` -> `write-flash` for esptool v5.x compat
  - Actual flash command (flash_nvs, line 153) was already fixed
  - Dry-run manual-flash hint (line 301) still printed old syntax

Bug 2: Refuse partial invocations that would silently wipe NVS
  - provision.py flashes a fresh NVS binary at offset 0x9000, which
    REPLACES the entire csi_cfg namespace. Any key not passed on the
    CLI is erased.
  - Previously: `provision.py --port COM8 --target-port 5005` would
    silently wipe ssid, password, target_ip, node_id, etc., causing
    "Retrying WiFi connection (10/10)" in the field.
  - Now: refuse unless all of --ssid/--password/--target-ip provided,
    or --force-partial is set (prints warning listing wiped keys).

Validation:
  - Dry-run: binary generates to 24576 bytes, hint uses write-flash
  - Safety check: partial invocation rejected with clear message
  - Force-partial: warning lists keys that will be wiped
  - Hardware: esptool v5.1.0 `read-flash 0x9000 0x100` works on
    attached ESP32-S3 (COM8); NVS preserved, device reconnected at
    192.168.1.104 with node_id=2 intact after reset.

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs: CHANGELOG catch-up for v0.5.5, v0.6.0, v0.7.0 (#367)

The changelog was stale at v0.5.4 — three releases were cut without
updating it. Added full entries for each, plus an [Unreleased] block
for the #391 provision.py fixes.

version.txt correctly stays at 0.6.0 — v0.7.0 was a model/pipeline
release, not a new firmware binary. Latest firmware is v0.6.0-esp32.

Closes #367

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-15 13:12:46 -04:00
rUv 2a05378bd2
Merge pull request #365 from ruvnet/feat/adr-080-qe-remediation
fix: ADR-080 QE remediation — 13 of 15 issues fixed
2026-04-06 18:40:21 -04:00
ruv ccb27b280c merge: bring feat/adr-080-qe-remediation up to date with main
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 18:36:20 -04:00
ruv 55c5ddfc40 docs: collapse all details sections in README for cleaner view
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 18:20:30 -04:00
ruv c5fef33c6a docs: reorder README sections — v0.7.0 first, then descending
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 18:18:40 -04:00
ruv 599ea61a17 docs: update README and user guide for v0.7.0 camera-supervised training
- Add v0.7.0 section with 92.9% PCK@20 result and new scripts
- Add camera-supervised training section to user guide with step-by-step
- Update release table (v0.7.0 as latest)
- Update ADR count (62 → 79)
- Update beta notice with camera ground-truth link

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 17:52:44 -04:00
rUv 8dddbf941a
Merge pull request #363 from ruvnet/feat/adr-079-camera-ground-truth
feat: camera ground-truth training pipeline with ruvector optimizations (ADR-079)
2026-04-06 17:29:13 -04:00
ruv 35903a313d feat: NaN-safe TCN + CSI UDP recorder for real ESP32 training (#362)
- Add activation clamping [-10, 10] in TCN forward pass to prevent NaN
  from real CSI amplitude ranges after normalization
- Add safe sigmoid with input clamping [-20, 20]
- Add scripts/record-csi-udp.py: lightweight ESP32 CSI UDP recorder

Validated on real paired data (345 samples):
  ESP32 CSI: 7,000 frames at 23fps from COM8
  Mac camera: 6,470 frames at 22fps via MediaPipe
  PCK@20: 92.8% | Eval loss: 0.083 | Bone loss: 0.008

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 17:18:41 -04:00
ruv 4bb0b87465 feat: ADR-080 P1+P2 remediation — refactor, perf, tests, safety
P1 fixes (this sprint):
- P1-6: Extract sensing-server modules (cli, types, csi, pose) from main.rs
- P1-7: DDA ray march for tomography — O(max(n)) replaces O(n^3) voxel scan
- P1-8: Batch neural inference — Tensor::stack/split for single GPU call
- P1-10: Eliminate 112KB/frame alloc — islice replaces deque→list copy

P2 fixes (this quarter):
- P2-11: Python unit tests for 8 modules (rate_limit, auth, error_handler,
  pose_service, stream_service, hardware_service, health_check, metrics)
- P2-13: MAT simulated data safety guard — blocking overlay + pulsing banner
- P2-14: Wire token blacklist into auth verification + logout endpoint
- P2-15: Frame budget benchmark — confirms pipeline well under 50ms budget

Addresses 8 of 10 remaining issues from QE analysis (ADR-080).

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 17:01:07 -04:00
ruv 5bd0d59aa6 feat: ADR-080 P1+P2 remediation — refactor, perf, tests, safety
P1 fixes (this sprint):
- P1-6: Extract sensing-server modules (cli, types, csi, pose) from main.rs
- P1-7: DDA ray march for tomography — O(max(n)) replaces O(n^3) voxel scan
- P1-8: Batch neural inference — Tensor::stack/split for single GPU call
- P1-10: Eliminate 112KB/frame alloc — islice replaces deque→list copy

P2 fixes (this quarter):
- P2-11: Python unit tests for 8 modules (rate_limit, auth, error_handler,
  pose_service, stream_service, hardware_service, health_check, metrics)
- P2-13: MAT simulated data safety guard — blocking overlay + pulsing banner
- P2-14: Wire token blacklist into auth verification + logout endpoint
- P2-15: Frame budget benchmark — confirms pipeline well under 50ms budget

Addresses 8 of 10 remaining issues from QE analysis (ADR-080).

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 17:00:27 -04:00
ruv 924c32547e fix: ADR-080 P0 security + CI remediation from QE analysis
Address all 5 P0 issues from QE analysis (55/100 score):

- P0-1: Rate limiter bypass — validate X-Forwarded-For against trusted proxy list
- P0-2: Exception detail leak — generic 500 messages, exception_type gated by dev mode
- P0-3: WebSocket JWT in URL (CWE-598) — first-message auth pattern replaces query param
- P0-4: Rust tests not in CI — add rust-tests job gating docker-build and notify
- P0-5: WebSocket path mismatch — use WS_PATH constant instead of hardcoded /ws/sensing

Includes ADR-080 remediation plan and 9 QE reports (4,914 lines).
Firmware validated on ESP32-S3 (COM8): CSI collecting, calibration OK.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 16:12:13 -04:00
ruv 327d0d13f6 feat: scalable WiFlow model with 4 size presets (#362)
Add --scale flag with 4 presets for dataset-appropriate sizing:

  lite:   ~190K params, 2 TCN blocks k=3  (trains in seconds)
  small:  ~200K params, 4 TCN blocks k=5  (trains in minutes)
  medium: ~800K params, 4 TCN blocks k=7  (trains in ~15 min)
  full:   ~7.7M params, 4 TCN blocks k=7  (trains in hours)

Refactored model to use dynamic TCN block count, kernel size,
channel widths, hidden dim, and SPSA perturbation count — all
driven by the scale preset. Default is 'lite' for fast iteration.

Validated: lite model completes 30 epochs on 265 samples in ~2 min
on Windows CPU (vs stuck at epoch 1 with full model).

Scale up with: --scale small|medium|full as dataset grows.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 14:55:35 -04:00
ruv d09baa6a09 fix: remove hardcoded Tailscale IPs and usernames from public files
- ADR-079: strip SSH user/IP from optimization description
- mac-mini-train.sh: replace hardcoded IP with env var WINDOWS_HOST

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 14:39:21 -04:00
ruv 486392bb68 docs: update ADR-079 with validated hardware, ruvector optimizations, baseline
- Status: Proposed → Accepted
- Add O6-O10 optimizations (subcarrier selection, attention, Stoer-Wagner
  min-cut, multi-SPSA, Mac M4 Pro training via Tailscale)
- Add validated hardware table (Mac camera, MediaPipe, M4 Pro GPU, Tailscale)
- Add baseline benchmark results (PCK@20: 35.3%)
- Update implementation plan with completion status

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 14:38:40 -04:00
ruv 33f5abd0e0 feat: ruvector + DynamicMinCut optimizations for WiFlow training (#362)
Add 4 ruvector-inspired optimizations to the training pipeline:

- O6: Subcarrier selection (ruvector-solver) — variance-based top-K
  selection reduces 128→56 subcarriers (56% input reduction)
- O7: Attention-weighted subcarriers (ruvector-attention) — motion-
  correlated weighting amplifies informative channels
- O8: Stoer-Wagner min-cut person separation (ruvector-mincut) —
  identifies person-specific subcarrier clusters via correlation
  graph partitioning for multi-person training
- O9: Multi-SPSA gradient estimation — K=3 perturbations per step
  reduces gradient variance by sqrt(3) vs single SPSA

Also fixes data loader to accept both `kp`/`keypoints` field names
and flat CSI arrays with `csi_shape`, and scalar `conf` values.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 14:22:08 -04:00
ruv e3522ddcda feat: camera ground-truth training pipeline (ADR-079, #362)
Add 4 scripts for camera-supervised WiFlow pose training:

- collect-ground-truth.py: synchronized webcam + CSI capture via
  MediaPipe PoseLandmarker (17 COCO keypoints at 30fps)
- align-ground-truth.js: time-align camera keypoints with CSI windows
  using binary search, confidence-weighted averaging
- train-wiflow-supervised.js: 3-phase supervised training (contrastive
  pretrain → supervised keypoint regression → bone-constrained
  refinement) with curriculum learning and CSI augmentation
- eval-wiflow.js: PCK@10/20/50, MPJPE, per-joint breakdown, baseline
  proxy mode for benchmarking

Baseline benchmark (proxy poses, no camera supervision):
  PCK@10: 11.8% | PCK@20: 35.3% | PCK@50: 94.1% | MPJPE: 0.067

Camera pipeline validated over Tailscale to Mac Mini M4 Pro
(1920x1080, 14/17 keypoints visible, MediaPipe confidence 0.94-1.0).

Target after camera-supervised training: PCK@20 > 50%

Closes #362

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 14:07:25 -04:00
ruv b5e924cd72 fix: embed firmware version from version.txt, log at boot (#354)
- Add version.txt (0.6.0) read by CMakeLists.txt so
  esp_app_get_description()->version matches the release tag
- Log firmware version on boot: "v0.6.0 — Node ID: X"
- Remove stale Kconfig help text (said default 2.0, actual is 15.0)

Fixes the version mismatch reported in #354 where flashing v0.5.3
binaries showed v0.4.3 because PROJECT_VER was never set.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-06 11:26:58 -04:00
rUv 854342297a
Merge pull request #359 from ruvnet/docs/hf-links-update
docs: update HuggingFace links to ruv/ruview
2026-04-03 14:23:17 -04:00
ruv 23b4491e7b docs: update HuggingFace links to ruv/ruview (primary repo)
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 14:23:07 -04:00
rUv 2b24250a69
Merge pull request #358 from ruvnet/feat/deep-scan
feat: deep-scan.js — comprehensive RF intelligence report
2026-04-03 13:03:28 -04:00
ruv 6d446e5459 feat: deep-scan.js — comprehensive RF intelligence report
Shows: who, what they're doing, vitals, position, objects, electronics,
physics, and RF fingerprint. The 'wow factor' demo script.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 13:03:18 -04:00
rUv 62fd1d96af
Merge pull request #357 from ruvnet/docs/v0.6.0-models-guide
docs: HuggingFace models + 17 sensing apps + v0.6.0 guide
2026-04-03 10:28:40 -04:00
ruv b3fd0e2951 docs: add HuggingFace models, 17 sensing apps, v0.6.0 to README + user guide
README:
- New "Pre-Trained Models" section with HuggingFace download link
- Model table (safetensors, q4, q2, presence head, LoRA adapters)
- Updated benchmarks (0.008ms, 164K emb/s, 51.6% contrastive)
- "17 Sensing Applications" section (health, environment, multi-freq)
- v0.6.0 in release table as Latest

User guide:
- "Pre-Trained Models" section with quick start + huggingface-cli
- What the models do (presence, fingerprinting, anomaly, activity)
- Retraining instructions
- "Health & Wellness Applications" section with all 4 health scripts
- Medical disclaimer

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 10:28:29 -04:00
rUv aae01a2be8
Merge pull request #356 from ruvnet/fix/large-dataset-training
fix: skip triplet JSON export for large datasets (>100K)
2026-04-03 09:37:30 -04:00
ruv 828d0599d7 fix: skip triplet JSON export for large datasets (>100K)
JSON.stringify fails on 1M+ triplets. Training succeeded (33.3%
improvement) but export crashed. Now skips export when >100K triplets.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 09:37:08 -04:00
rUv 21fd7c84e2
Merge pull request #355 from ruvnet/fix/windows-bind-addr
fix: --bind flag for Windows firewall compatibility
2026-04-03 09:11:01 -04:00
ruv 85417b84a6 fix: add --bind flag for Windows firewall compatibility
Windows firewall blocks UDP on 0.0.0.0 — must bind to specific WiFi IP.

- seed_csi_bridge.py: --bind-addr auto (auto-detects WiFi IP)
- rf-scan.js: --bind <ip> option (default 0.0.0.0, use 192.168.1.x on Windows)

Confirmed: 195 frames received from both ESP32 nodes with --bind 192.168.1.20

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 09:09:53 -04:00
rUv 430243c32c
Merge pull request #310 from orbisai0security/fix-v002-display-buffer-uaf
fix: remove unsafe exec() in display_task.c
2026-04-03 09:01:41 -04:00
ruv b7650b5243 feat(server): accuracy sprint 001 — Kalman tracker, multi-node fusion, eigenvalue counting
Original work by @taylorjdawson (PR #341). Merged with v0.5.5 firmware
preserved (ADR-069 feature vectors, ADR-073 channel hopping, batch-limited
watchdog from #266 fix).

New server features:
- Kalman tracker bridge for temporal smoothing
- Multi-node CSI fusion with field model
- Eigenvalue-based person counting
- Calibration endpoints (start/stop/status)
- Node positions parsing
- Adaptive classifier enhancements

Co-Authored-By: taylorjdawson <taylor@users.noreply.github.com>
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:59:17 -04:00
ruv 4fc491dea5 feat: ADR-078 — 5 multi-frequency mesh applications
RF tomography (2D backprojection imaging), passive bistatic radar
(neighbor APs as illuminators), frequency-selective material
classification (metal/water/wood/glass), through-wall motion
detection (per-channel penetration weighting), device fingerprinting
(RF emission signatures per SSID)

All impossible with single-channel WiFi — require 6-channel hopping.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:52:50 -04:00
ruv 4f6780f884 feat: ADR-077 — 6 novel RF sensing applications
Sleep monitor (hypnogram + efficiency), apnea detector (AHI scoring),
stress monitor (HRV + LF/HF via FFT), gait analyzer (cadence + tremor),
material detector (null pattern classification), room fingerprint
(k-means clustering + anomaly scoring)

All validated on overnight data (113K frames). Pure Node.js, zero deps.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:50:48 -04:00
ruv 085af0c2be docs: update quick start with 3 deployment options
Option 1: Docker (simulated, no hardware)
Option 2: ESP32 live sensing ($9)
Option 3: Full system with Cognitum Seed ($140)

Also shows RF scan, SNN, and MinCut commands for v0.5.5 capabilities.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:47:31 -04:00
ruv f4e636aaa2 docs: refocus README introduction on WiFi sensing
WiFi sensing (presence, vitals, activity, sleep, environment) is now
the primary narrative. Pose estimation repositioned as an advanced
capability. Highlights: multi-frequency mesh, SNN adaptation, witness
chain, Cognitum Seed integration.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:45:30 -04:00
ruv 582d51aed6 docs: fix Cognitum Seed pricing — $131 (not $15)
Updated all BOM references: ESP32 $9 + Cognitum Seed $131 = $140 total

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:44:22 -04:00
ruv b31efe5e92 docs: improve README benchmarks — results-focused with context
Replace dry metric table with human-readable results that explain
why each number matters. 14 benchmarks with real-world significance.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:42:52 -04:00
ruv f03b484dd1 docs: update README limitations — remove 2 resolved items
Removed:
- "No pre-trained model weights" — weights now published (v0.5.4+)
- "Multi-person counting overcounts #348" — fixed by MinCut (ADR-075)

Added:
- Camera-free pose accuracy limitation (2.5% PCK@20, honest about it)

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:32:04 -04:00
ruv 7a75277d58 chore: add data/ and models/ to .gitignore
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:22:29 -04:00
ruv 73ce72d39c docs: update README with v0.5.5 capabilities and benchmarks
- New "What's New in v0.5.5" section: SNN, MinCut (#348 fix), CNN
  spectrogram, WiFlow, multi-frequency mesh, graph transformer
- Before/after comparison table (person counting, channels, model)
- 15 new script commands with usage examples
- Release table updated with v0.5.5 as Latest
- v0.5.4 section collapsed (not open by default)

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 08:16:23 -04:00
rUv 4e9e92d713
feat: ADR-074/075/076 — SNN + MinCut + CNN Spectrogram (ruvector advanced sensing)
feat: ADR-074/075/076 — SNN + MinCut + CNN Spectrogram (ruvector advanced sensing)
2026-04-03 08:00:07 -04:00
ruv 28368b2c70 feat: ADR-076 CNN spectrogram embeddings + graph transformer fusion
CSI-as-image: 64x20 subcarrier×time matrix → 224x224 → CNN → 128-dim
embedding. Same-node similarity 0.95+, cross-node 0.6-0.8.

- csi-spectrogram.js: WASM CNN embedding, ASCII visualization, Seed ingest
- mesh-graph-transformer.js: GATv2 multi-head attention over ESP32 mesh,
  fuses multi-node features, generalizes to 3+ nodes

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 00:36:38 -04:00
ruv 4bb8c3303f feat: ADR-075 min-cut person separation — fixes #348
Stoer-Wagner min-cut on subcarrier correlation graph replaces broken
threshold-based person counting (was always 4, now correct).

Validated: 24/24 windows correctly report 1 person on test data
where old firmware reported 4. Pure JS, <5ms per window.

- mincut-person-counter.js: live UDP + JSONL replay, overrides vitals
- csi-graph-visualizer.js: ASCII spectrum + correlation heatmap
- ADR-075: algorithm, comparison, migration path

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 00:34:57 -04:00