Building an Ubuntu 24 DL Streamer Image & Smart Traffic Intersection Agent Setup | Intel Software

Опубликовано 19 марта 2026, 20:29

Learn how to configure and build a custom Ubuntu 24 OS image for Intel DL Streamer on X806604, including a full walkthrough of license plate recognition using GStreamer and setting up the Smart Traffic Intersection Agent from Edge AI Suites. This video covers repository setup, disk layout, package configuration, image validation, and end-to-end application deployment for AI-powered traffic solutions.

Key Topics:

1:43 Image Build Workflow: The team explained the steps to run the image build workflow to generate the raw disk artifact. They mentioned that the resulting image can be booted and validated in a virtual machine or deployed to the target environment.

2:11 License Plate Recognition Demo: The team demonstrated Intel DL streamers Gstreamer based license plate recognition sample. They detailed the process of setting up the models directory, downloading required public models, and running the sample to detect and recognize license plates in a video stream.

4:11 Smart Traffic Intersection Agent Setup: The team covered the setup of the Smart Traffic Intersection agent from the Edge AI Suites repository. They described the process of obtaining the project source, configuring environment variables, setting up Docker configs, and running the complete setup to initialize the application stack.

Resources

OS Image Composer (GitHub): github.com/open-edge-platform/...

DL Streamer (GitHub): github.com/open-edge-platform/...

Metro AI Suite (GitHub): github.com/open-edge-platform/...

Open Edge Platform Playlist: youtube.com/playlist?list=PLg-...

#EdgeAI #OSImageComposer #OpenEdgePlatform #EdgeComputing

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Building an Ubuntu 24 DL Streamer Image & Smart Traffic Intersection Agent Setup | Intel Software