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 focuses on accelerating development of Edge AI solutions for safety and security, smart city, and transportation.
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.
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#
Visual AI Demo Kit
Visual AI Demo Kit: Demo kit and sample collection for Metro Vision AI use cases.
Smart Intersection: A demo kit sample for using AI and multiple camera feeds to improve traffic flow control.
Smart Parking: A demo kit sample for parking management in real-time.
Loitering Detection: A demo kit sample for detecting and monitoring human presence.
Smart Tolling: A demo kit sample for automated tolling.
Live Video Analysis
Live Video Search: A sample that enables semantic search on live Frigate streams.
Live Video Alert Agent: An agent for AI-powered real-time alerting for live video streams.
Live Video Captioning: AI-powered analytics and captioning for live RTSP video streams.
Live Video Captioning RAG: RAG-based captioning, used by the Live Video Captioning app.
Other Metro Samples
Image-based Video Search: A sample that detects and retrieves objects in large video datasets in real time.
Visual Search and Q&A: An AI assistant with multi-modal contextual search engine for providing more relevant answers.
Sensor Fusion for Traffic Management: A sensor fusion framework for intelligent monitoring of traffic in fog, rain, or darkness.
Smart NVR: Convert conventional network video recorders into intelligent, context-aware systems.
Video Processing for NVR: Evaluate and optimize video processing workflows for network video recorders.
Smart Traffic Intersection Agent: An agent for analyzing and managing traffic scenarios at intersections.
Smart Route Planning Agent: An agent for route optimization that uses multi-agent communication.
Video Search and Summarization: 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.
Scenescape
Fuses multi camera and sensor data into a spatial scene model, e.g. for Smart Parking scene.
Blueprints#
A blueprint for creating end-to-end pipelines powered by distributed AI agents for monitoring critical infrastructure. It includes implementations of a Vision AI and Multimodal use cases, both covering the common three-unit architecture, multi-agent reasoning layer, and deployment principles.
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.