Uploaded April 2026 | Updated September 2026, 3 weeks ago

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Learn how to enable communication in DL-Streamer pipelines by converting and publishing metadata using GVA elements. This video explains how to transform inference results into JSON and send them externally using MQTT or Kafka.

Discover how video analytics pipelines become real-world AI agents that can share insights, alerts, and data with external systems.

docs.openedgeplatform.intel.com/dev/edge-ai-libraries/dlstreamer/index.html
github.com/open-edge-platform/edge-ai-libraries/tree/main/libraries/dl-streamer

The full Deep-Learning Streamer course
youtube.com/playlist?list=PLg-UKERBljNySiBeQaLtzF0yZGOmKrBRF


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Meta-Data communication with the DL-Streamer | Intel Software