Once the target image or or object is recognized, users can continue the AR experience by freely moving their device without the need of keeping the initializing image in the camera view. This feature combines image recognition and the SLAM algorithm at the base of Wikitude’s Instant Tracking feature. Users can visualize augmentations even when the target is out of view, providing robust performance for Wikitude-based apps.
Wikitude Extended Tracking – Facts
Some of the many use cases …
Show hidden information
The technology works by looking for features in the environment around the trigger and by tracking how those features change position as the user moves. A traveller could visualize media, explanations and directions around touristic objectives or similar information which are normally not in sight. It can improve tracking in a multitude of use cases: from art installations, sculptures, store fronts, and home appliances, to medical devices, production lines, vehicles and more.
Display machinery data
Extended tracking makes it possible to enhance the visualization of large objects, even buildings. The user is able to identify a machine based on the initial trigger and the display data collected from different sensors. He may visualize augmented points which require additional attention, as well as notifications of malfunctions. Be it handheld devices or smart glasses, one of the main advantages is the fact that all the information can be precisely positioned.