# Run Both Applications Simultaneously

Both Live Video Captioning and Loitering Detection can run in parallel on the same camera from
the same Nx Witness integration.

## Prerequisite — avoid container name and port conflicts

The Loitering Detection (LD) and Live Video Captioning (LVC) stacks share some service names and
host ports by default. Update the Loitering Detection `docker-compose.yml` file with the
following changes to avoid clashes:

| Service                      | Change                                                             |
| ---------------------------- | ------------------------------------------------------------------ |
| `broker`                     | Host port changed from `1883` to `1884` (`"1884:1883"`)            |
| `dlstreamer-pipeline-server` | Container name changed to `dlstreamer-pipeline-server-ld`          |
| `coturn`                     | Container name changed to `coturn-ld`; host port changed to `3479` |
| `metrics-manager`            | Container name changed to `metrics-manager-ld`                     |

## Run applications simultaneously

1. Start the LVC stack (its broker occupies host port `1883`):

   ```bash
   cd metro-ai-suite/live-video-analysis/live-video-captioning
   docker compose up -d
   ```

2. Start the LD stack (its broker now occupies host port `1884`):

   ```bash
   cd metro-ai-suite/metro-vision-ai-app-recipe
   docker compose up -d
   ```

3. Update `.env` in the VAP directory so the LD MQTT subscriber uses the LD broker on port `1884`:

   ```bash
   # metro-ai-suite/vms-adapter-plugin/.env
   MQTT_PORT=1884
   ```

4. Start VAP (already configured with both apps in `config.yaml`):

   ```bash
   cd metro-ai-suite/vms-adapter-plugin
   docker compose up -d
   ```

5. In the Nx Witness desktop client, close any open camera visualizer window. Navigate to the left panel, and under the server, find the camera you wish to run analytics on and right-click to open context menu. open **Camera Settings → Integrations → VAP Analytics
   Integration**. There are two checkboxes: **Live Video Captioning** and **Loitering
   Detection**. Enable the checkboxes for both.

VAP starts both pipelines independently within 5 seconds.

## View results in Nx Witness

Both pipelines run in parallel, but Nx Witness displays only one type of analytics output at a
time:

- **Bookmarks tab** (or press **Ctrl+B**) — shows LVC captions, each pushed as a timestamped bookmark.
- **Object Search** (or press **Alt+O**) — shows Loitering Detection bounding boxes (`vap.pedestrian`,
  `vap.vehicle`, etc.) overlaid on the live feed.

This is an Nx Witness limitation: the client cannot overlay detection boxes and bookmarks
simultaneously in the same camera panel, even though both pipelines produce results
concurrently.