Get started with our latest projects
COVID-19 Mask Detection Model
Train and deploy a model using Custom Vision to detect if a person is wearing the proper face protection for COVID-19. Find the project on GitHub here
Partnering with Purdue
MS partners with Purdue University to publish a project on the Workplace Safety (PPE) model using the Vision AI Dev Kit and Custom Vision. Read the published article here
Custom Object Detection with Jetson Nano
Detect any thing at any time using a Camera Serial Interface Infrared Camera on an NVIDIA Jetson Nano with Azure IoT and Cognitive Services.
Azure IoT Central PnP Provisioning
Learn how to connect and manage Vision AI Dev Kit with Azure IoT Central PnP module
Azure IoT Edge on Raspian Buster
Azure IoT Edge on Raspian Buster
Run ONNX model with Jetson Nano
Get started with ONNX framework and NVIDIA Jetson Nano
Kubernetes Cluster on Raspberry Pi
Build a Kubernetes “Intelligent Edge” Cluster on Raspberry Pi
Audio based anomaly detection
Learn how to record audio samples and create an audio AI model
Run ONNX and WinML on Windows
Run Windows ML inferencing in an Azure IoT Edge module running on Windows
See all example projects
See full example project list involving multiple different devices and solution areas
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Find or build an AI@Edge Device
Find existing hardware and developer kits, or use resources and best practices to build intelligent edge capable hardware
Build an AI/ML model
Take advantage of the faster inference times an AI@Edge device offers by learning more about ML models, the ML frameworks supported by different devices, and the tools used for training models
Get started
Ready to go? Get started with concrete examples that provide you an example of running AI model in a device
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What is AI@Edge?
See how a device taking advantage of AI@Edge differs from a traditional IoT device
Get started with ONNX
ONNX is an open format to represent both deep learning and traditional models. ONNX helps to solve the challenge of hardware dependency related to AI models and enables deploying same AI models to several HW accelerated targets
Operate and maintain an AI@Edge solution
To take advantage of the fast turn around, offine capabilities and filtered data AI@Edge devices offer, Azure IoT Edge helps containerize, deploy, and manage cloud services
Become part of the community
Join the AI@Edge community
Hear the latest solution and services news for Azure and Windows IoT, share your thoughts, and get help from the community
Participate in Live Events
Learn about in-person events and conferences covering AI@Edge
Dial in to calls
Join bi-weekly Intelligent Edge Brief calls