How to deploy an IoT Central application using the video analytics - object and motion detection application template

For an overview of the key video analytics - object and motion detection application components, see object and motion detection video analytics application architecture.

The following video gives a walkthrough of how to use the video analytics - object and motion detection application template to deploy an IoT Central solution:

Deploy the application

Complete the following steps to deploy an IoT Central application using the video analytics application template:

  1. Complete either the Create a video analytics application in Azure IoT Central (YOLO v3) or the Create a video analytics in Azure IoT Central (OpenVINO™) tutorial to:

    • Create an Azure Media Services account.
    • Create the IoT Central application from the video analytics - object and motion detection application template.
    • Configure a gateway device in the IoT Central application. The gateway enables camera devices to connect to the application.
  2. Complete either the Create an IoT Edge instance for video analytics (Linux VM) or the Tutorial: Create an IoT Edge instance for video analytics (Intel NUC) tutorial to:

    • Create an Azure VM with the Azure IoT Edge runtime installed.- Prepare the IoT Edge installation to host the video analytics module.
    • Connect the IoT Edge device to your IoT Central application.
  3. Complete the Monitor and manage a video analytics application tutorial to:

    • Add object and motion detection cameras to the gateway in your IoT Central application.
    • Start the camera processing.
    • Install a local media player to view captured video in AMS.
    • View captured video that shows detected objects.
    • Tidy up.

Next steps

Now you have an overview of the steps to deploy and use the video analytics application template, see Create a video analytics application in Azure IoT Central (YOLO v3) or Create a video analytics in Azure IoT Central (OpenVINO™) to get started.