Create a Microsoft Azure Cognitive Service FaceAPI Application in Half an Hour

Azure Face API



In this article, we are going to create Microsoft Azure Cognitive Service Face API in half an hour. Microsoft Azure Cognitive Services are set of APIs and Services available for the developers to make their applications more interactive and intelligent. This was formerly known as Project Oxford. Here Microsoft uses Machine Learning in the background to create these APIs. So far we have the preceding list of APIs.

  • Emotion and video detection
  • Facial Recognition
  • Speech Recognition
  • Vision Recognition
  • Speech and language understanding


  • Azure Subscription
  • Visual Studio

If you don’t have any Azure subscription, please sign up for a subscription here.

Download the source code

You can always download the source code used for this video from here

Create the Face API in Azure portal

To know how to create a Face Recognition API in Azure portal, please see the video preceding.

Add reference of Microsoft.ProjectOxford.Face to your project

Before we start coding, please make sure that you add the reference of Microsoft.ProjectOxford.Face from NuGet package manager.


Using the code

To get started, open your Visual Studio and create a new WPF application.

Add Image and button control to MainWindow.xaml


Create an instance of IFaceServiceClient

If you are selecting the location as Southeast Asia while creating the Face API in portal, it is mandatory to use the second parameter, that is, your end point.

Load the image to image control

Detect the faces count

Draw the rectangles in faces found


Now run your application and upload an image, it can be a single picture or a group picture.

Azure Face Recognition API Output
Azure Face Recognition API Output

Check the statistics in Azure portal

If everything goes fine, you will be able to see the statistics in your Azure portal as preceding.

Face API Metric In Azure Portal
Face API Metric In Azure Portal

To Do

If you would like to compare the images or identify the person in an image, please read the documentation here Face identifying and comparing with Azure Face API


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Sibeesh Venu