Start fast

Get up and running in minutes, regardless of your current skill level with vision machine learning.

Build fast

Deploy fast

Azure IoT Edge can push your containerized vision ML models to the Vision AI DevKit with ease, whether the camera is on your desk or in another country.

Prove your concept

Use the Vision AI DevKit and Azure services to quickly take your Intelligent Edge project from concept to proof.

Join the Community

Get help and help others with vision ML projects by joining our Tech Community and Gitter

Build the intelligent edge

As an Intelligent Edge device, the Vision AI DevKit can be combined with Azure IoT Edge to deploy vision ML models and custom business logic from the cloud to the edge via standard containers. Moving these workloads to the edge of the network means vision ML inferencing work requires less cloud interaction while enabling quick reaction to local events, including operating during extended offline periods.


An Azure IoT starter kit, the Vision AI DevKit can be used with models built and trained using the Azure Machine Learning service and


The Vision AI DevKit features the Qualcomm Visual Intelligence Platform for hardware acceleration of AI models to deliver superior inferencing performance.

Technical Specifications

Vision AI DevKit device image

Vision AI DevKit specs