Spatial Tracking

Scene recognition is the next generation of vision-based Augmented Reality

Augmented Reality with Scene Recognition

Augmented Reality (AR) comes with different tracking types. The most advanced type of experience is making use of scene recognition.

When designing this kind of experience, a detailed 3D scan of a real-life location needs to be created first. Inside this model, AR content can be positioned with very high precision. This approach allows for complex experiences like scene recognition without the need for a target or very precise location tracking.

Watch Introduction to Onirix Studio

SLAM with spaces

ARKit & ARCore Integration

ARKit & ARCore were developed by Apple and Google. These frameworks ensure homogeneous AR experiences across different mobile devices. Onirix makes use of ARKit and ARCore

Besides providing all this value, ARKit and ARCore are complex frameworks that require knowledge about linear algebra and multiple view geometry. Onirix is harvesting the power of these two platforms while providing an extra layer of convenience for developers. More about the Frameworks used in Onirix can be found here.

Instant Tracking with SLAM

Instant tracking allows the user to place content inside of scenes without the need for an image or a surface. Instant tracking does not rely on object recognition or images as it tracks features of the physical environment. It makes use of SLAM (Simultaneous Localization and Mapping) which is capable of understanding the physical reality of a scene. This makes it more precise than GPS tracking and perfect for indoor usage.

Spatial tracking can be used, whenever precision is key to the experience. Below you will find a few different use cases that make use of spatial tracking and its advanced possibilities.

SLAM in Studio

Use Cases

Scene recognition for professional settings