Files
DoorCounter/README.md
Peter Woolery a37207b6ff feat: event-based walker detector tuned to real 7' overhead mount
Replace per-track line-crossing counter with a single event state machine
gated by foreground pixel count (ENTER=250, EXIT=150) and finalized by
quiet-exit or timeout. Direction inferred from centroid excursion
(up_score vs down_score) on quiet-exit fires, and from net displacement
(last_c vs first_c) on timeout fires.

Tuning reflects bench data at the intended 7' overhead mount: walkers
produce smaller centroid excursions than originally modelled, so
EXTENT gates, MIN_TRAJ, MAX_FRAMES and REFRACTORY were all relaxed from
their initial guesses. Constants and rationale live in firmware/lib/cv/cv.h.

Bench results (8 isolated walks, 4 entries + 4 exits):
  * Event detection: 8/8 (100%)
  * Aggregate entries+exits split: 4+4 (matches)
  * Per-walk direction labelling: 4/8 (~50%)

Document explicitly that per-walk direction is unreliable at this mount
and that downstream analytics should trust only gross traffic
(entries + exits). Recovering direction would require a physical mount
change or a richer signal; both are out of scope for v1.

Tooling:
  * tools/replay_logs.py — replay event state machine against captured
    [F] diagnostic lines, for offline tuning without flash-test loops.
  * firmware/src/main_capture.cpp + tools/capture_frames.py +
    tools/replay_frames.py — raw-frame capture firmware and Python port
    of the detector, kept in tree for future iteration even though the
    TimerCamera-F serial driver stripped specific byte ranges in testing
    and log-based replay became the working path.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-17 16:03:36 -07:00

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# DoorCounter
Retail door traffic counter using M5Stack TimerCamera-F (ESP32 + OV3660). Counts walker traversals via overhead camera CV, passively scans BLE foot traffic, and reports hourly to `logs.research.bike`.
> **Known limitation — directional accuracy.** This firmware reports counts as `{entries, exits}` for API compatibility, but **per-walk direction labelling is not reliable at the current mount (7' overhead, straight down).** In bench testing, event detection was 100% (8/8 walks detected) while per-walk direction matched the physical walk only ~50% of the time — the centroid trajectories produced by entries and exits were nearly indistinguishable. **The number to trust is gross traffic: `entries + exits` ≈ total walkers through the doorway.** The directional split is an unreliable best-effort heuristic. See [Directional counting](#directional-counting) for why.
## Hardware
- **Device**: M5Stack TimerCamera-F (ESP32-S, OV3660, PSRAM, WiFi/BLE)
- **Mount**: Overhead, camera pointing straight down, centered above doorway
- **Power**: USB (any phone charger)
## Firmware
Built with PlatformIO. Target: `timercam`.
```bash
cd firmware
pio run -t upload --upload-port /dev/ttyUSB0
```
### What it does
| Module | Behavior |
|--------|----------|
| CV pipeline | 5 fps, 96×96 grayscale, event-based walker detector (foreground-count state machine; centroid-trajectory direction heuristic) with post-fire refractory period |
| Detection LED | Single blink on entry, double blink on exit (preserves upload/no-WiFi status LED) |
| BLE scanner | Continuous passive scan; deinits during hourly upload to free heap |
| Reporter | Hourly HMAC-signed POST; 60s boot report for fast connectivity check |
| Provisioning | Captive portal AP on first boot for WiFi setup |
| OTA | Arduino OTA; operator push via `ota_push.py` |
### Reporting intervals
- **First report**: 60 seconds after NTP sync (connectivity check)
- **Subsequent reports**: every 3600 seconds
### Counting model — event-based walker detector
The CV pipeline is a **single event state machine** (no per-blob tracking
for counting). Per-frame foreground pixel count gates event start and end;
centroid trajectory within the active event decides direction.
**Event lifecycle:**
1. **Idle → Active**: `fg_count ≥ CV_EVENT_ENTER_THRESH` (250 px) fires event start.
Background updates freeze while the event is active so the walker does
not get absorbed into the baseline.
2. **Active accumulation**: every frame updates `first_c` (once), `min_c`,
`max_c`, `last_c`, `min_y_seen`, `max_y_seen`, and the frame count.
3. **Active → End** (either):
- **Quiet exit**: `fg_count < CV_EVENT_EXIT_THRESH` (150 px) for
`CV_EVENT_QUIET_FRAMES` (3) consecutive frames — walker has left.
- **Timeout**: `event_frame_count > CV_EVENT_MAX_FRAMES` (25 frames ≈ 5s).
4. On end, the event is finalized: gated by minimum duration, vertical
extent (must span a large fraction of the frame), and minimum centroid
trajectory magnitude. Background snaps to the current frame.
5. A **refractory period** (`CV_EVENT_REFRACTORY_FRAMES` = 10 ≈ 2s) after
a fire blocks a new event from starting — absorbs residual lingering
motion that would otherwise double-count.
**Direction heuristic** (applied only if the event passes all gates):
- `up_score = first_c min_c` (how far centroid excursed upward)
- `down_score = max_c first_c` (how far it excursed downward)
- Quiet-exit events: `is_entry = (up_score ≥ down_score)`
- Timeout events: `is_entry = (last_c < first_c)` — net displacement is
more reliable than excursion when the walker is still in frame at timeout.
Per-mount convention: centroid moving **up through the frame** (y decreasing)
= **entry** into the store.
### Directional counting — known limitation
**Per-walk direction labelling is unreliable at the current mount.** In
bench testing (8 alternating entry/exit walks at 4s intervals, 7' overhead
mount pointing straight down):
- **Event detection**: 8/8 (100%) — every walk produced exactly one event.
- **Aggregate split**: 4 entries + 4 exits — matches the 4+4 ground truth.
- **Per-walk direction**: 4/8 (50%) — essentially a coin flip.
At this mount, entries and exits produce nearly identical centroid
trajectories: both begin near mid-frame (walker is already large when
`fg_count` crosses 250), both reach a peak excursion toward the top, and
both end near mid-frame (walker's tail is still visible when `fg_count`
drops below 150). No heuristic over the recorded centroid statistics
separates them with better than ~50% accuracy on alternating walks.
**What we ship, and what the server should trust:**
- **Gross traffic (`entries + exits`) is accurate.** This is the number
downstream analytics should use as "people through the door this hour."
- **Directional split is reported but unreliable.** Treat individual
`entries` and `exits` values as a best-effort labelling. Do not infer
net flow or dwell from them.
To actually recover per-walk direction would require either a physical
change (raise or tilt the camera so walkers enter/leave through the frame
edges) or a richer signal than centroid statistics (e.g. time-resolved
optical flow, or a second sensor). That work is out of scope for v1.
See `firmware/lib/cv/cv.h` for tuning constants and `cv.cpp` for the
finalize logic.
## Operator Setup
### 1. Flash firmware
```bash
cd firmware
pio run -t upload --upload-port /dev/ttyUSB0
```
### 2. Provision device identity
```bash
python tools/flash_device.py \
--port /dev/ttyUSB0 \
--device-id dc-0042 \
--location-id retailer-123 \
--hmac-secret <32-byte-hex> \
--wifi-ssid "StoreWiFi" \
--wifi-password "secret"
```
WiFi credentials are optional — if omitted, device starts captive portal on boot.
> **Re-provision after firmware uploads.** Flashing firmware via
> `pio run -t upload` may clear the NVS partition on this board. If the device
> boots into a ~1 Hz LED blink (the "not provisioned" fatal state) after a
> firmware update, re-run `flash_device.py` with the same credentials. See
> [Troubleshooting](#troubleshooting).
### 3. OTA updates
```bash
python tools/ota_push.py \
--host dc-0042.local \
--firmware firmware/.pio/build/timercam/firmware.bin
```
## End User Setup
1. Mount device overhead, camera pointing straight down
2. Plug into USB power
3. Connect phone to `DoorCounter-Setup` WiFi
4. Browser opens automatically → enter store WiFi password → done
**LED indicators**: Red = no WiFi · Blue = counting · Yellow = uploading · Brief flash (×1) on entry · Brief flash (×2) on exit
## API
Endpoint: `http://logs.research.bike`
| Endpoint | Data |
|----------|------|
| `POST /api/v1/camera/events/batch` | Hourly entry/exit counts |
| `POST /api/v1/events/batch` | Hourly BLE proximity records |
| `POST /api/v1/heartbeat` | Device health (uptime, RSSI, pending records) |
All requests are HMAC-SHA256 signed. See [design spec](docs/superpowers/specs/2026-04-13-door-counter-design.md) for full API shapes and auth scheme.
## Project Structure
```
DoorCounter/
├── firmware/
│ ├── platformio.ini
│ ├── lib/
│ │ ├── cv/ — CV pipeline (event state machine, centroid-trajectory direction)
│ │ └── hmac/ — HMAC-SHA256 signing library
│ └── src/
│ ├── main.cpp — FreeRTOS tasks, boot sequence
│ ├── config.* — NVS read/write
│ ├── provisioning.* — captive portal
│ ├── camera.* — frame capture + CV pipeline
│ ├── ble_scanner.* — BLE passive scan
│ └── reporter.* — hourly batch POST + local buffer
├── tools/
│ ├── flash_device.py — NVS provisioning script
│ ├── ota_push.py — OTA push script
│ └── serial_monitor.py — reset + read serial with timestamps (diagnostic)
├── docs/
│ ├── server-prompt-crossing-cooldown.md — server-side coordination notes
│ └── superpowers/specs/2026-04-13-door-counter-design.md
└── server/ — API server (separate deployment)
```
## Troubleshooting
| Symptom | Likely cause | Remedy |
|---------|--------------|--------|
| ~1 Hz LED blink after boot, no serial beyond `esp_core_dump_flash: No core dump partition found!` | NVS missing `device_id` / `location_id` / `hmac_secret`. Commonly triggered by a firmware upload wiping NVS. | Re-run `flash_device.py` with the device's known credentials. |
| Device stays on `DoorCounter-Setup` AP instead of joining customer WiFi | SSID/password in NVS wrong, or network out of range. | Connect phone to `DoorCounter-Setup` → captive portal → re-enter WiFi. Or reflash NVS with correct `--wifi-ssid` / `--wifi-password`. |
| No entries/exits counted for a known-walking doorway | WiFi captive portal still up (camera task starts only after connect); or camera blocked/unfocused. | Check LED: solid on = booting/uploading, off = counting. Run `serial_monitor.py` to see `[CV] entry/exit` log lines. |
Capture a boot log with timestamps:
```bash
python tools/serial_monitor.py --port /dev/ttyUSB0 --reset --timestamp --seconds 30
```