Skip to main content

Microsoft Azure Face API and Unity

During one of my projects, I came across Microsoft's face recognition API (Azure Face API) and it looked good enough to recognize people's faces and detect if a person is a newcomer or a repeating customer to our store.


As our installations mainly use the game engine Unity, I wanted to be able to use the Face API from Unity. Face API does not have an SDK for Unity but their requests are just HTTP requests so the Networking classes in Unity can be wrapped into methods to make it easy to call these APIs.

First of all, to those who just want to see the code, here it is.

My tests focus on the identification of a face in an input image. The full tutorial I followed can be found here.
The Main scene goes through the steps in the tutorial such as creating a PersonGroup and adding Persons to the group if it is not created yet.

Just make sure you:

  • Change the API key. I used a free trial key which is no longer valid.
  • Use whatever images you want. I don't mind you using my own photos which are included in the project's folders.
RequestManager.cs contains all the methods that call Face API and FaceRecognizer.cs is the main script that utilizes these methods to perform face registration and detection, once the PersonGroup is already created.
The app is not built to be smart though, so if detects there is still not any PersonGroup created, it will create a PersonGroup and stops. You will need to quit Game mode and rerun it to make it progress to the next step. When all steps according to the tutorial has been completed, it will perform the face identification against all input images in the test folder.

One example of the detection performed on one of my images is shown below.


Hope this helps anyone who wants to use the Face API from Unity and leave comments if you have any questions!

Comments

Post a Comment

Popular posts from this blog

Using FCM with the new HTTP v1 API and NodeJS

When trying to send FCM notifications I found out that Google has changed their API specifications. The legacy API still works but if you want to use the latest v1 API you need to make several changes. The list of changes is listed on their site so I won't be repeating them again but I'll just mention some of the things that caused some trial and error on my project. The official guide from Google is here : Official Migration Guide to v1 . The request must have a Body with the JSON containing the message data. Most importantly it needs to have "message" field which must contain the target of the notification. Usually this is a Topic, or Device IDs. Since my previous project was using GAS, my request had a field called "payload" instead of "body". Using the request from my previous project, my request in Node JS was as follows: request ({ url: 'https://fcm.googleapis.com/v1/projects/safe-door-278108/messages:send' , method: ...
Post a Comment
Read more

Building a native plugin for Intel Realsense D415 for Unity

Based on a previous post , I decided to write a plugin for the Intel Realsense SDK methods so we can use these methods from within Unity. FYI Intel also has their own Unity wrapper in their Github repository , but for our projects, I needed to perform image processing with OpenCV and passing the results to Unity instead of just the raw image/depth data. There is a plugin called OpenCVForUnity to use OpenCV functions from Unity but previous experiments indicate the image processing inside Unity can take a long time. I hope this post can help someone else who wants to use Intel's cameras or any other devices natively in Unity. Test Environment Windows 10 64bit Unity 2017.2.0f3 x64 bit Realsense SDK from Intel CMake 3.0 or higher Steps Checkout the native plugin code here . Don't worry about the other projects in the same repository. The relevant code is in the link above. Checkout the Unity sample project here . However, instead of master you need to go to the br...
5 comments
Read more