Deploy a vision AI model to Azure Percept DK

Follow this guide to deploy a vision AI model to your Azure Percept DK from within Azure Percept Studio.

Prerequisites

Azure Percept DK (devkit)
Azure subscription
Azure Percept DK setup experience: you connected your devkit to a Wi-Fi network, created an IoT Hub, and connected your devkit to the IoT Hub

Power on your devkit.
Navigate to Azure Percept Studio.
On the left side of the overview page, click Devices.
Select your devkit from the list.
On the next page, click Deploy a sample model if you would like to deploy one of the pre-trained sample vision models. If you would like to deploy an existing custom no-code vision solution, click Deploy a Custom Vision project.
If you opted to deploy a no-code vision solution, select your project and your preferred model iteration, and click Deploy.
If you opted to deploy a sample model, select the model and click Deploy to device.
When your model deployment is successful, you will receive a status message in the upper right corner of your screen. To view your model inferencing in action, click the View stream link in the status message to see the RTSP video stream from the Vision SoM of your devkit.