# livekit-cameras

Publishes 20 Logitech C920 webcam streams (video + cleaned audio) to a
LiveKit room.

Each camera becomes one LiveKit participant (`cam-01` .. `cam-20`) that
publishes:
- a camera video track (1280x720 @ 30 fps by default, MJPG from V4L2)
- a microphone audio track (16 kHz mono, cleaned with speechbrain)

## Layout

```
run.py              orchestrator: discovery + per-camera worker processes
run_worker.py       one camera: ffmpeg capture -> LiveKit track publish
discovery.py        serial-based camera <-> ALSA card discovery
audio_cleanup.py    speechbrain SpectralMaskEnhancement (16 kHz) + fallback
tokens.py           LiveKit JWT generation
config.py           .env / environment configuration
prefetch_model.py   one-time speechbrain model download
generate_udev_rules.py  (re)generate udev pinning + slots.json from live state
slots.json          stable slot map: cam-NN -> USB serial, /dev/camNN, ALSA card
```

## Setup

```bash
uv venv --python 3.12
uv pip install -p .venv/bin/python -r pyproject.toml   # or: uv sync
cp .env.example .env    # then fill in LIVEKIT_URL / API_KEY / API_SECRET
.venv/bin/python prefetch_model.py     # download speechbrain model once
```

## Stable camera identity (cam-01 is always cam-01)

Each C920 has a unique built-in USB serial — that is the camera's UUID.
udev rules (`/etc/udev/rules.d/99-c920-pin.rules`, generated from the live
state) bind every slot to a serial, so identity survives reboots, hub
reordering, and any connect sequence:

- video:  `/dev/cam01` .. `/dev/cam20` (primary UVC node; `.meta` = metadata)
- audio:  fixed ALSA card per slot, `hw:2,0` .. `hw:21,0` (SOUND_CARD_INDEX)

`discovery.py` assigns identities from `slots.json` (serial lookup, with a
port-based fallback for cameras not yet in the map). To re-map slots (e.g.
after physically swapping cameras), regenerate:

```bash
.venv/bin/python generate_udev_rules.py --write
sudo udevadm control --reload-rules
sudo udevadm trigger --subsystem-match=video4linux --action=add
sudo udevadm trigger --subsystem-match=sound --action=add
```

## Run

```bash
.venv/bin/python run.py                  # all 20 cameras
.venv/bin/python run.py --cameras 1,5    # subset
.venv/bin/python run.py --once           # status report after timeout
```

## Audio cleanup

The mic audio is cleaned per chunk (default 200 ms) by
`speechbrain/metricgan-plus-voicebank` (16 kHz, CPU). One worker process per
camera loads the model once and reuses it; on this 28-core box all 20 stay
real-time. `ENHANCE_MODE=off` (or a failed model load with `auto`) falls back
to a lightweight high-pass + soft-clip DSP path so streams still work.

## Notes

- Video uses MJPG directly from the UVC interface (`ffmpeg -f v4l2
  -input_format mjpeg`) — cheap, and converts to BGRA for LiveKit.
- Audio: ALSA mics on these C920s deliver 16 kHz **stereo** only; the worker
  downmixes to mono for LiveKit.
- Camera <-> card pairing is resolved by matching USB port paths under /sys,
  so each mic belongs to its own camera.
- Workers auto-restart (up to 10 times) if a camera drops.