Metro AI Suite#
Edge AI Suites are collections of open, industry-specific AI software development kits (SDKs), microservices, and sample applications for independent software vendors (ISVs), system integrators and solution builders.
The Metro AI Suite provides the following sample applications to accelerate development of solutions for Edge AI use cases such as: video, safety and security, smart city, and transportation:
Comprehensive development environment for computer vision applications.
Comprehensive development environment for generative AI applications.
Comprehensive demonstration environment for computer vision applications.
Metro AI Suite Samples#
Demo Kit sample for traffic flow control.
Demo Kit sample for parking management.
Demo Kit sample for detecting and monitoring human presence.
Demo Kit sample for automated tolling.
Use semantic search on live Frigate streams.
AI-powered real-time alerting for live video streams.
AI-powered captioning for live RTSP video streams.
Captioning using RAG for live RTSP video streams.
Detect and retrieve objects of interest in large video datasets.
Digital avatar for Your AI helper.
Combine AI assistant with multi-modal search engine to use search results as context for more relevant answers.
Sensor fusion framework for high performance, Intel-based® Intelligent Traffic Solution.
Convert conventional network video recorders into intelligent, context-aware systems.
Evaluate and optimize video processing workflows for NVR.
An Agent for analyzing and managing traffic scenarios at intersections.
An Agent for route optimization that uses multi-agent communication.
Deliver AI-processed video and sensor data in a deterministic, low-latency manner.
Software Development#
Metro SDK
Metro SDK for application- and framework-level development in Metro AI Suite.
Video Processing Platform SDK
SDK for optimized, low-level, performance-critical video pipeline development on Intel® hardware.
OpenVINO™ Toolkit
Optimizes and deploys AI models across Intel® hardware in cloud, edge, and on premises environments.
OpenVINO™ Model Server
Hosts AI models via networks, e.g. enabling Smart Parking to share a single vehicle-detection model.
Deep Learning Streamer (DL Streamer)
Open-source GStreamer framework-based media analytics framework used by video-centric applications.
DL Streamer Pipeline Server
Python code-based, containerized microservice for video analytics pipelines built using DL Streamer.
Tools#
Intel® Edge System Qualification
Benchmarks and qualifies Intel® hardware for optimal system selection, e.g., Smart Parking system.
Geti™ Software
Builds production-ready vision models for deployment in applications, e.g. Smart Parking.
Visual Pipeline And Platform Evaluation Tool
Benchmarks end-to-end visual analytics pipelines, e.g. Smart Parking pipelines, on Intel® hardware.
Intel® Scenescape
Fuses multi camera and sensor data into a spatial scene model, e.g. for Smart Parking scene.
Guides and Tutorials#
A blueprint for creating an end-to-end pipeline powered by distributed AI agents for
infrastructure monitoring and inspection.
The solution is available for testing on GitHub.
A blueprint for creating a digital twin of a building for operational efficiency, predictive
maintenance, and enhanced safety.
A demo will be available for download in the following weeks.
Performance Optimization
See how to get the most out of your hardware, using Open Edge Platform components.
Migrate from Nvidia Ecosystem
See what options you have to use Open Edge Platform components with your AI solutions based on the Nvidia ecosystem.
Security Enablement
Learn how to make your AI solutions more secure, on the example of the the Smart Intersection & Smart Intersection Agent sample app.
Visual AI Kit Customization
A selection of tutorials that will walk you through creating Metro Vision AI based solutions, from setting up your first application to running inference data processing pipelines.