Build an Ubuntu 24 DL Streamer Image with OS Image Composer + Smart Traffic Intersection Agent (Metro AI Suite)

[rpandya28]

🚀 Overview

This discussion summarizes a demo showing how Intel® OS Image Composer builds a reproducible Ubuntu 24 image for Intel DL Streamer on Intel Raptor Lake, then uses that OS baseline to deploy an end-to-end traffic solution using the Smart Traffic Intersection Agent from the Metro AI Suite.

✅ Why OS Image Composer

• 🧱 Create a consistent OS baseline for video analytics stacks
• 📄 Keep the build reproducible and auditable via YAML
• 🧩 Reduce manual setup before deploying AI applications
• 🔁 Make it easier to replicate the same environment across devices

🧱 What you build (the OS image)

• 🖥️ OS: Ubuntu 24
• 🎯 Target: X86_64 (as referenced in the demo)
• ⚙️ YAML defines: repository setup, disk layout, packages, and system configuration
• 💿 Image output: raw disk artifact for VM validation or target deployment

🤖 What you run on top (workloads)

• 🚘 DL Streamer + GStreamer: License plate recognition (model setup + pipeline run)
• 🚦 Metro AI Suite: Smart Traffic Intersection Agent (repo setup + env config + Docker-based deployment)

🔗 Resources

• OS Image Composer: https://github.com/open-edge-platform/os-image-composer
• DL Streamer: https://github.com/open-edge-platform/dlstreamer
• Metro AI Suite: https://github.com/open-edge-platform/edge-ai-suites/tree/release-2026.0.0/metro-ai-suite
• Open Edge Platform Playlist: https://www.youtube.com/playlist?list=PLg-UKERBljNxIMUUPWHpA8ZJ_YUU5tPP9