# USB camera

The **gst-ai-usb-camera-app** streams video from a USB webcam connected to the Qualcomm EVK. This webcam should be accessible as a `/dev/videoX` device. While you can perform object detection and preview the results, this procedure allows you to process the input from the USB camera without performing AI inferencing.

The AI USB camera application uses the `/etc/config/config-usb-camera-app.json` file to read the input parameters.

You can choose to run this application with and without AI inferencing. To run this application with AI inferencing, see [AI USB camera](https://docs.qualcomm.com/doc/80-80021-50/topic/ai-usb-camera.html).

The following figures show a pipeline, which processes the input from the USB camera to generate various outputs.

For more information about the plugins used in these pipelines, see [Pipeline flow](https://docs.qualcomm.com/doc/80-80021-50/topic/usb-camera.html#section-sy3-wd2-ncc).

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**Figure : gst-usb-single-camera-app pipeline**

## Run the application

Before running the application, complete the [Prerequisites](https://docs.qualcomm.com/doc/80-80021-50/topic/download-model-and-label-files.html).

1. In the terminal of the target device, do the following to run this sample application without the AI inferencing:

> 
> 
> 1. Use the `config-usb-camera-app.json` file from `/etc/configs/` directory.
>     2. In the `config-usb-camera-app.json` file, set `enable-object-detection` to `FALSE`.
>     3. Run the gst-ai-usb-camera-app application:
> 
> 
> 
> 
> > 
> > 
> > gst-ai-usb-camera-app --config-file=/etc/config/config-usb-camera-app.json
> >         Copy to clipboard
2. To stop the use case, use **CTRL + C**.
3. In the terminal of the target device, run the following command in the SSH shell to display the available help options:

gst-ai-usb-camera-app -h
        Copy to clipboard

## Expected output

The following table lists the expected output for each use case:

Table:Expected output for gst-ai-usb-single-camera-app–without AI

| Use case | Output |
| --- | --- |
| Preview | Preview of the camera stream. See the [Figure 2](https://docs.qualcomm.com/doc/80-80021-50/topic/video-playback-using-opencv.html#fig-ihh-tqq-5bc). |
| Save the MP4 and YUV data | Save the output to a file at `/etc/media/` folder path. |
| RTSP | View the output on a remote display. |

![../../_images/gst-camera-single-stream-example.png](data:image/png;base64,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)

**Figure : Expected output for gst-opencv-transform.py application–Preview**

## Pipeline flow

| Pipeline | Description |
| --- | --- |
| Dump the camera YUV to a filesink | <ol class="arabic simple"><br><li><p>v4l2src captures the camera live stream.</p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtivtransform.html"><span class="doc">qtivtransform</span></a> transforms the stream data.</p></li><br><li><p>Capsfilter is applied to enforce constraints on the raw video data.</p></li><br><li><p>Filesink is used to dump the YUV data into a file.</p></li><br></ol> |
| Preview on display | <ol class="arabic simple"><br><li><p>v4l2src captures the camera live stream.</p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtivtransform.html"><span class="doc">qtivtransform</span></a> transforms the stream data.</p></li><br><li><p>Capsfilter is applied to enforce constraints on the raw video data.</p></li><br><li><p>The data is sent to the Wayland display sink (<a href="https://docs.qualcomm.com/doc/80-80021-50/topic/waylandsink.html"><span class="doc">Waylandsink</span></a>) for live preview.</p></li><br></ol> |
| Video encoding | <ol class="arabic simple"><br><li><p>v4l2src captures the camera live stream.</p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtivtransform.html"><span class="doc">qtivtransform</span></a> transforms the stream data.</p></li><br><li><p>Capsfilter is applied to enforce constraints on the raw video data.</p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/v4l2h264enc.html"><span class="doc">v4l2h264enc</span></a> is used to encode the video using the H.264 format.</p></li><br><li><p>H264parse is used to parse the video.</p></li><br><li><p>Mp4mux is used to multiplex the video into an MP4 container.</p></li><br><li><p>Filesink is used to write the video to a file.</p></li><br></ol> |
| Video encoding and RTSP streaming | <ol class="arabic simple"><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtiqmmfsrc.html"><span class="doc">qtiqmmfsrc</span></a> captures the camera live stream.</p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/qtivtransform.html"><span class="doc">qtivtransform</span></a> transforms the stream data.</p></li><br><li><p>Capsfilter is applied to enforce constraints on the raw video data.</p></li><br><li><p><a href="https://docs.qualcomm.com/doc/80-80021-50/topic/v4l2h264enc.html"><span class="doc">v4l2h264enc</span></a> is used to encode the video using the H.264 format.</p></li><br><li><p>H264parse is used to parse the video.</p></li><br><li><p>qtirtspbin is used to load the stream to RTSP.</p></li><br></ol> |

The following table lists the plugins used in the USB camera streaming pipeline:

Last Published: Mar 26, 2026

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