Wikitude SLAM Technology
See beyond reality with Wikitude’s powerful SLAM solution for Augmented Reality apps!Download free trial
SLAM (Simultaneous Localization and Mapping) is a technology which understands the physical world through feature points.
SLAM enables AR applications to recognize 3D objects & scenes, as well as to instantly track the world, and to overlay digital interactive augmentations.
- Enables: Instant Tracking, Object & Scene Recognition, Extended Tracking
- SMART: switches to ARCore & ARKit instant tracking on supporting devices
- Windows support: Unity
- Available for Smart Glasses: Epson, ODG
- Optimal for indoors and outdoors
- Instant Tracking Documentation
- Object & Scene Recognition Documentation
See what’s possible with Wikitude’s SLAM
Instant tracking allows you to place digital content indoors and outdoors without the need for a target. Unlike Image and Object Recognition, which rely on pre-mapped targets to trigger the display of digitally augmented elements, Instant Tracking is markerless. So, instead of requiring a target, it tracks features of the physical environment itself to overlay AR content.
Wikitude provides it’s own SLAM based instant tracking and, when the devices support it, it makes it possible to use ARCore’s or ARKit’s instant tracking.See Feature
Object and Scene Recognition
Object recognition enables real time and 360 degrees augmented reality experiences around real world objects, that were pre-defined by you. With SDK 8, Wikitude extended this SLAM based feature to support recognition and tracking of larger objects, rooms, and scenes.
The practical applications are numerous, so whether you are building your next interactive marketing campaign, enhancing in-store experiences or remotely assisting workers on a factory floor, object recognition will close the gap between the physical and digital worlds.See Feature
3D Model Object Tracking (Beta)
Create high-performing Unity object tracking AR experiences for iOS and Android using 3D models (CAD, glTF 2.0 and more). Work with reflective and feature-poor objects such as vehicles, large-scale industrial machines, home appliances, toys and more.