Creating and visualizing a scene with the AR mobile app

Note:
The AR mobile app is supported on iPhone and Android products. The AR mobile app is supported on iPhone 8 and greater. Click here for a complete list of Android mobile devices that support the AR mobile app.
The following list shows some best practices when creating a scene.
  • Multiple scenes

    Each Landmark can contain multiple AR nodes. Each node is essentially a different location within the landmark that contains Emerson devices.

  • Size each AR scene appropriately

    Try to limit each AR scene to a radius of 15 meters (16 yards or 50 feet). For industrial areas that are larger than 15 meters, split the environment into multiple AR scenes.

  • One method to create a scene is to scan the physical environment before you begin to place AR nodes. This helps the AR application to essentially learn and understand the physical environment.

Visualizing a scene on your mobile device

There are some differences in how the AR engine understands and recognizes unique parts and nodes within an environment and what is displayed at the bottom of the mobile app user interface.

On an iOS mobile device, the AR engine understands an environment by recognizing unique parts within it. The unique parts, called feature points, are spots with a high light contrast, patches with unique colors, edges of an object, and so on. The feature points are displayed at the bottom of the mobile device screen. The higher the number of feature points the more stable and precise the AR system is. However, the more feature points that a scene has, the longer it can take to upload depending on the network connection.

On an Android mobile device, feature points are not used. Instead, the number of created nodes in an environment are counted and displayed at the bottom of the mobile device screen. The more nodes that you place in a scene the higher the accuracy of the scene. Refer to "Placing a node in an AR scene". Again, the more nodes that a scene contains, the longer it can take to upload depending on the network connection.

The following list is a guideline of how to improve accuracy of a scene.
  • Identifying 10-20% of the available nodes produces a low accuracy
  • Identifying 30-70% of the available nodes produces a medium accuracy
  • Identifying 80-100% of the available nodes produces a high accuracy