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:
A comprehensive development environment for computer vision applications using Intel’s optimized tools and frameworks.
A comprehensive development environment for generative AI applications using Intel’s optimized tools and microservices.
A comprehensive demonstration environment for computer vision applications using Intel’s optimized tools and frameworks.
Metro AI Suite Samples#
A demo kit sample for using AI and multiple camera feeds to improve traffic flow control.
A demo kit sample for parking management in real-time.
A demo kit sample for detecting and monitoring human presence.
A demo kit sample for automated tolling.
A sample that enables semantic search on live Frigate streams.
An agent for AI-powered real-time alerting for live video streams.
AI-powered analytics and captioning for live RTSP video streams.
RAG-based captioning, used by the Live Video Captioning app.
A sample that detects and retrieves objects in large video datasets in real time.
Integrate 2D/3D avatars to provide intelligent real-time responses to speech-based user queries.
An AI assistant with multi-modal contextual search engine for providing more relevant answers.
A sensor fusion framework for intelligent monitoring of traffic in fog, rain, or darkness.
Convert conventional network video recorders into intelligent, context-aware systems.
Evaluate and optimize video processing workflows for network video recorders.
An agent for analyzing and managing traffic scenarios at intersections.
An agent for route optimization that uses multi-agent communication.
Search through videos and summarize them.
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.