Commit Graph

4 Commits

Author SHA1 Message Date
ruv 677b3ac31b docs(firmware): truth-up Tier 2 wording — slot-capacity heuristic, not learned person counter (closes #568)
@xiaofuchen's code audit in #568 was correct: the firmware's
`pkt.n_persons` is `s_top_k_count / 2` (clamped) — a subcarrier-slot
partition, not a learned classifier. The README's old wording
('Multi-person estimation', 'Presence sensing') reads stronger than
`edge_processing.c:481-548` actually supports. Same-direction fix as
commit bd4f81749 (which retracted the 92.9% PCK@20 claim because
ADR-079's eval phases are still Pending) and ADR-099 §D8 (which
honestly amended the 10× latency target because it's unreachable on
1-D scalar features).

Three things this commit changes:

1. **Headline-table 'Presence sensing' -> 'Presence indicator (heuristic)'.**
   Adds an explicit caveat that strong RF interference can false-positive
   without re-calibration, with a link to the detailed Tier-2 section.
   The marketing word 'sensing' implied a classifier; the code is a
   variance threshold.

2. **Tier-2 bullet 'Multi-person estimation' -> 'Multi-person slot count'.**
   Now reads:

     'partitions the top-K subcarriers into top_k / 2 groups (clamped to
     [1, EDGE_MAX_PERSONS]), computes per-group filtered breathing/heart-
     rate estimates, and reports the slot count as pkt.n_persons. This
     is a slot-capacity heuristic, not a learned counter — the reported
     count tracks subcarrier diversity, not actual occupancy.'

   Links directly to `main/edge_processing.c:481-548` so the user can
   verify the claim against the code.

3. **New 'What this firmware does NOT do (Tier 2 caveats)' subsection.**
   Three explicit non-claims:

   - No trained neural model on the ESP32 — the person count is
     arithmetic, not inference.
   - No pose estimation on the ESP32; pose comes from the host's Rust
     server, and only runs learned inference when --model <rvf-file> is
     passed. Without a trained model, the host runs signal-based
     heuristics, not keypoint inference. Same point as #509 / #506.
   - Presence indicator false-positives under fans/microwaves/AP TX
     swings without re-running the 60 s ambient calibration. Notes the
     concrete remedy (power-cycle in an empty room).

Closes #568.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-15 07:41:57 -04:00
rUv 523be943b0
feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260)
9-layer QEMU testing platform (ADR-061) and YAML-driven swarm
configurator (ADR-062) for ESP32-S3 firmware testing without hardware.

12 commits, 56 files, +9,500 lines. Tested on Windows with
Espressif QEMU 9.0.0 — firmware boots, mock CSI generates frames,
14/16 validation checks pass. 39 bugs found and fixed across
2 deep code reviews.

Closes #259

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-14 13:39:51 -04:00
ruv 4b1005524e feat: complete vendor repos, add edge intelligence and WASM modules
- Add 154 missing vendor files (gitignore was filtering them)
  - vendor/midstream: 564 files (was 561)
  - vendor/sublinear-time-solver: 1190 files (was 1039)
- Add ESP32 edge processing (ADR-039): presence, vitals, fall detection
- Add WASM programmable sensing (ADR-040/041) with wasm3 runtime
- Add firmware CI workflow (.github/workflows/firmware-ci.yml)
- Add wifi-densepose-wasm-edge crate for edge WASM modules
- Update sensing server, provision.py, UI components

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-02 23:53:25 -05:00
rUv 92a5182dc3 feat(adr-018): ESP32-S3 firmware, Rust aggregator, and live CSI pipeline
Complete end-to-end WiFi CSI capture pipeline verified on real hardware:

- ESP32-S3 firmware: WiFi STA + promiscuous mode CSI collection,
  ADR-018 binary serialization, UDP streaming at ~20 Hz
- Rust aggregator CLI binary (clap): receives UDP frames, parses with
  Esp32CsiParser, prints per-frame summary (node, seq, rssi, amp)
- UDP aggregator module with per-node sequence tracking and drop detection
- CsiFrame bridge to detection pipeline (amplitude/phase/SNR conversion)
- Python ESP32 binary parser with UDP reader
- Presence detection confirmed: motion score 10/10 from live CSI variance

Hardware verified: ESP32-S3-DevKitC-1 (CP2102, MAC 3C:0F:02:EC:C2:28),
Docker ESP-IDF v5.2 build, esptool 5.1.0 flash, 20 Rust + 6 Python tests pass.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-02-28 13:22:04 -05:00