Building and Deploying DL Streamer Images for PCB Anomaly & Face Detection | Intel Software

Опубликовано 19 марта 2026, 20:33

This demo guides you through configuring OS Image Composer to build an EMT 3-based DL Streamer image for X806604, including repository setup, disk layout, and system configuration. It demonstrates deploying the PCB anomaly detection application using Docker Compose and showcases real-time face detection with DL Streamer and GStreamer, highlighting practical steps for industrial Edge AI workflows

Key Topics:

0:59 Package Repositories and Disk Configuration: The demo detailed the configuration of additional package repositories, disk name, artifact type, and disk size, including the use of a GPT partition table and defining partitions.

1:39 System Configuration and Image Build: The demo described setting the system configuration name, bootloader selection, and enabling a mutable root file system. They also explained the process of running the image build workflow to generate the raw disk artifact.

2:26 PCB Anomaly Detection Application: The demo showcased the PCB anomaly detection application from the Industrial Edge Insights Vision suite, detailing the deployment process, environment configuration, and starting the application stack using Docker Compose.

4:42 DL Streamer Face Detection Sample: The demo demonstrated the DL Streamer face detection sample using G Streamer, including preparing the runtime environment, downloading the required face detection model, and launching the Gstreamer pipeline for real-time face detection.

Resources

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

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

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

#EdgeAI #OSImageComposer #OpenEdgePlatform #EdgeComputing

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Building and Deploying DL Streamer Images for PCB Anomaly & Face Detection | Intel Software