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.
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 AI Suite Software Development Kit Installation.
Video Processing Platform SDK
ARM-friendly video processing acceleration API for implementing video-centric workloads.
OpenVINO
Open-source toolkit for deploying performant AI solutions on-prem, in the cloud, and on the edge.
OpenVINO Model Server
Solution for hosting AI models and providing them to software components over standard network protocols.
DL Streamer
Open-source streaming media analytics framework based on GStreamer.
DL Streamer Pipeline Server
Python-based, interoperable containerized microservice for development and deployment of video analytics pipelines.
Tools#
Intel® Edge System Qualification
Assess Intel® hardware options and benchmark performance. Analyze key metrics to optimize hardware selection for AI workloads.
Geti
Develop vision-based production-ready AI models within minutes, using a graphic interface.
Visual Pipeline And Platform Evaluation Tool
Assess Intel® hardware options, benchmark performance, and analyze key metrics to optimize hardware selection for AI workloads.
SceneScape
Scene-based AI software framework introducing spatial awareness from camera and sensor data.
Guides and Tutorials#
Performance Optimization
See how to get the most out of your hardware, using Open Edge Platform components.
Migrate from Nvidia
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 sample app.