Exercise - Test Azure AI services on the IoT Edge device

  • 7 minutes

You'll make an HTTP call to the Azure IoT Edge device that has the Azure AI services container running. The container provides REST-based query prediction endpoint APIs. Use the host, http://<<your-ipaddress>>:5000, for container APIs.

Open port 5000 of the edge device.

  1. Go to the edge device VM you created in the Azure portal.

  2. Under Networking, select Network settings.

  3. Navigate to Rules section to add an inbound security rule to open port 5000.

    1. Select the Create port rule button and select Inbound port rule. The illustration shows how to add inbound rule.

    2. Set the Destination Port Ranges to 5000

    3. Set the Name to Port_5000

    4. Select the Add button

      The configured inbound port.

  4. Copy the public IP address of your edge device from the overview page.

Query the Azure AI services container running on your IoT Edge device from any browser

Request URL Purpose
http://<<your-ipaddress>>:5000/ The container provides a home page.
http://<<your-ipaddress>>:5000/status Requested with an HTTP GET, to validate that the container is running without causing an endpoint query.
http://<<your-ipaddress>>:5000/swagger The container provides a full set of documentation for the endpoints and a Try it out feature.
  1. Open the browser, and replace the IP address of edge device with <<your-ipaddress>>.
  2. Go to http://<<your-ipaddress>>:5000.
  3. Select API Description or go to http://<<your-ipaddress>>:5000/swagger to get a detailed description of the API.
  4. Select Try it out and then Execute. You can change the input value as you like. The result shows up farther down on the page. The illustration shows the execution of Azure AI services on the browser.