# Image tracking sample

This sample demonstrates how to detect and augment image targets found in the real world.

For basic information about image tracking and what AR Foundation’s `AR Tracked Image Manager` component does, see the [Unity documentation](https://docs.unity3d.com/Packages/com.unity.xr.arfoundation&#64;latest/manual/features/image-tracking.html). To use this feature, enable it in the OpenXR plugin settings located under `Project Settings > XR Plug-in Management > OpenXR (> Android Tab)`. For more information, see [Image Tracking Feature](https://docs.qualcomm.com/doc/80-88642-12/topic/features_imagetracking.html#image-tracking).

## How the image tracking sample works

To use the `Image Tracking` feature, enable it in the OpenXR project settings.

The image targets are fed to the underlying XR plugin through an `XR Reference Image Library`. The added image has a name that is useful for identifying a tracked target. Set the **Keep Texture at Runtime** flag to true; this allows the subsystem to pass the texture data to the OpenXR Runtime application for tracking purposes.

Additionally, the image target in the sample’s case is measured at 26 cm in height (when printed in DIN A4 or US letter). The correct measures are essential for a correct pose estimation and subsequent placement of an augmentation. Therefore, it must be specified after enabling **Specify Size**.

![Runtime reference image library](data:image/png;base64,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)

In the Import Settings, the texture must have the **Read/Write** flag **enabled** and the **Format** must be set to **RGB 24 bit** (which may also appear as **RGB8**). If the **Format** is set to **Automatic**, the project’s graphics settings may set the format incorrectly.

![Image texture import settings](data:image/png;base64,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)

Adding the `ARTrackedImageManager` to the `XROrigin` GameObject enables the Image Tracking Subsystem included in the Snapdragon Spaces package. The component provides three fields: a field for the `RuntimeReferenceimageLibrary` created above, a field for specifying the **Max Number Of Moving Images**, and a field for defining a prefab to spawn upon detection of a tracked image. The prefab used is a gizmo that indicates the orientation of the tracked image.

By subscribing to the `ARTrackedImageManager`’s method to listen for tracked image changes, the appropriate UI information gets set for the tracking state and position of the tracked image, as seen in the simplified code example.

Warning

For this sample to work, the reference image names set in the `XR Reference Image Library` must be unique. Identical names cause a hash code collision in the `_trackedImages` dictionary.

...
    private Dictionary<TrackableId, ...> _trackedImages = new Dictionary<TrackableId, ...>();
    public override void OnEnable() {
       ...
       FindObjectOfType<ARTrackedImageManager>().trackedImagesChanged += OnTrackedImagesChanged;
    }
    public override void OnDisable() {
       ...
       FindObjectOfType<ARTrackedImageManager>().trackedImagesChanged -= OnTrackedImagesChanged;
    }
    private void OnTrackedImagesChanged(ARTrackedImagesChangedEventArgs args) {
       foreach (var trackedImage in args.added) {
          if (trackedImage.referenceImage.name == "Spaces Town") {
             _trackedImages.Add(trackedImage.trackableId, ...);
          ...
          }
       }
       foreach (var trackedImage in args.updated) {
          var info = _trackedImages[trackedImage.trackableId];
             ...
          }
       foreach (var trackedImage in args.removed) {
          _trackedImages.Remove(trackedImage.trackableId);
          ...
       }
    }
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Last Published: Oct 23, 2025

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