# Custom Gstreamer pipeline use cases

Source: [https://docs.qualcomm.com/doc/80-70023-50/topic/custom-gstreamer-pipeline-use-cases.html](https://docs.qualcomm.com/doc/80-70023-50/topic/custom-gstreamer-pipeline-use-cases.html)

Custom Gstreamer pipeline helps you design and implement tailored multimedia
        processing work flows using the GStreamer framework. These pipelines give you full control
        over media processing, analysis, and delivery. You can connect specific GStreamer elements
        and leverage their properties to fine-tune performance, latency, and output
        formats.

- **[Multi model daisychain detection classification](https://docs.qualcomm.com/doc/80-70023-50/topic/multi-model-daisychain-detection-classification.html)**  

The use case uses a sequential pipeline design to detect objects and classify up to         four of the detected objects.
- **[Publish metadata to RedisSink](https://docs.qualcomm.com/doc/80-70023-50/topic/publish-metadata-redissink.html)**  

The use case extracts the ML metadata and sends it to the client through RedisSink.         Redis stores this data allowing real-time analytics and dashboards to display up-to-date         insights.

**Parent Topic:** [Run machine learning use cases](https://docs.qualcomm.com/doc/80-70023-50/topic/machine-learning-use-cases.html)

Last Published: Mar 27, 2026

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