# USB camera

Source: [https://docs.qualcomm.com/doc/80-70018-50/topic/usb-camera.html](https://docs.qualcomm.com/doc/80-70018-50/topic/usb-camera.html)

The **gst-ai-usb-camera-app** streams the 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 the 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 the AI inferencing. To run this
            application with AI inferencing, see AI USB camera.

The figures show 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.

Figure : gst-usb-single-camera-app pipeline
            
            ![](data:image/jpeg;base64,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)

## Run the application

Before running the application, complete the prerequisites.

To run this sample application without the AI inferencing, do the following:

1. Use the config-usb-camera-app.json file from AI USB camera.
2. In the config-usb-camera-app.json file, set
                        `enable-object-detection` to `FALSE`.
3. Push the file to the /etc/configs/ directory on the target
                    device.
4. Run the gst-ai-usb-camera-app
                    application:

        gst-ai-usb-camera-app --od-config-file=/etc/config/config-usb-camera-app.jsonCopy to clipboard

To display the available help options, run the following command in the SSH
                shell:

    gst-ai-usb-camera-app -hCopy to clipboard

To stop the use case, use CTRL + C.

## Expected output

The 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 : Expected output for gst-usb-single-camera-app application - Preview. |
| Save the MP4 and YUV data | Save the output to a file at /etc/ folder<br>                                path. |
| RTSP | View the output on a remote display. |

Figure : Expected output for gst-usb-single-camera-app application - Preview
                
                ![](data:image/png;base64,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)

## Pipeline flow

The table lists the plugins used in the USB camera streaming
                        pipeline:| Pipeline | Description |
| --- | --- |
| Dump the camera YUV to a filesink | <ol class="ol" id="use-camera__ol_zkf_sf2_ncc"><br>                                        <li class="li">v4l2src captures the camera live stream.</li><br><br>                                        <li class="li"><a title="The qtivtransform plugin uses GPU hardware to upscale/downscale, flip, rotate, crop, and color covert the incoming YUV or RGB video frames determined by the element properties." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('qtivtransform.html')">qtivtransform</a> transforms the stream<br>                                            data.</li><br><br>                                        <li class="li">Capsfilter is applied to enforce constraints on the raw<br>                                            video data.</li><br><br>                                        <li class="li">Filesink is used to dump the YUV data into a file.</li><br><br>                                    </ol> |
| Preview on display | <ol class="ol" id="use-camera__ol_njk_nls_nbc"><br>                                        <li class="li">v4l2src captures the camera live stream.</li><br><br>                                        <li class="li"><a title="The qtivtransform plugin uses GPU hardware to upscale/downscale, flip, rotate, crop, and color covert the incoming YUV or RGB video frames determined by the element properties." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('qtivtransform.html')">qtivtransform</a> transforms the stream<br>                                            data.</li><br><br>                                        <li class="li">Capsfilter is applied to enforce constraints on the raw<br>                                            video data.</li><br><br>                                        <li class="li">The data is sent to the Wayland display sink (<a title="The waylandsink plugin uses the GstVideoSink GStreamer class. It's based on the Wayland Weston compositor, which creates its own window and renders the incoming video frames in the window." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('waylandsink.html')">Waylandsink</a>) for live preview.</li><br><br>                                    </ol> |
| Video encoding | <ol class="ol" id="use-camera__ol_fhg_wls_nbc"><br>                                        <li class="li">v4l2src captures the camera live stream.</li><br><br>                                        <li class="li"><a title="The qtivtransform plugin uses GPU hardware to upscale/downscale, flip, rotate, crop, and color covert the incoming YUV or RGB video frames determined by the element properties." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('qtivtransform.html')">qtivtransform</a> transforms the stream<br>                                            data.</li><br><br>                                        <li class="li">Capsfilter is applied to enforce constraints on the raw<br>                                            video data.</li><br><br>                                        <li class="li"><a title="The v4l2h264enc plugin uses the V4L2 APIs to encode the video stream." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('v4l2h264enc.html')">v4l2h264enc</a> is used to encode the<br>                                            video using the H.264 format.</li><br><br>                                        <li class="li">H264parse is used to parse the video.</li><br><br>                                        <li class="li">Mp4mux is used to multiplex the video into an MP4<br>                                            container.</li><br><br>                                        <li class="li">Filesink is used to write the video to a file.</li><br><br>                                    </ol> |
| Video encoding and RTSP streaming | <ol class="ol" id="use-camera__ol_ckj_pf2_ncc"><br>                                        <li class="li"><a title="The qtiqmmfsrc plugin captures the video frames through Qualcomm Camera Service." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('qtiqmmfsrc.html')">qtiqmmfsrc</a> captures the camera live<br>                                            stream.</li><br><br>                                        <li class="li"><a title="The qtivtransform plugin uses GPU hardware to upscale/downscale, flip, rotate, crop, and color covert the incoming YUV or RGB video frames determined by the element properties." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('qtivtransform.html')">qtivtransform</a> transforms the stream<br>                                            data.</li><br><br>                                        <li class="li">Capsfilter is applied to enforce constraints on the raw<br>                                            video data.</li><br><br>                                        <li class="li"><a title="The v4l2h264enc plugin uses the V4L2 APIs to encode the video stream." class="xref cursorpointer" onclick="Window.BookmapComponent.navigateFile('v4l2h264enc.html')">v4l2h264enc</a> is used to encode the<br>                                            video using the H.264 format.</li><br><br>                                        <li class="li">H264parse is used to parse the video.</li><br><br>                                        <li class="li">qtirtspbin is used to load the stream to RTSP. </li><br><br>                                    </ol> |

**Parent Topic:** Run sample applications for camera

Last Published: Jan 30, 2026

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