Instant Tracking: best practices and tracked environment guidelines

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 mark, it tracks features of the physical environment itself to overlay AR content. SLAM based Instant Tracking is, therefore, highly dependent on the characteristics of the physical scene ... Read more

Image Recognition & Tracking: best practices and target guidelines

Augmented reality experiences come in all shapes and sizes. Some have a location-based trigger while others are activated by features of the physical scenery itself. Some rely on a 3D object to make the augmentation come to life while others depend on a 2D target image to reveal the digital content. Within the various AR-activating ... Read more

Get SMART – Seamless AR Tracking with ARCore and ARKit

Simultaneous localization and mapping (SLAM) was one of the most impactful technologies in 2017. It opened a wider spectrum of augmented reality experiences going beyond image & object targets by instantly tracking real-world scenes and placing digital layers in everyday environments.With the release of Wikitude’s markerless AR feature, followed by Apple’s ARKit and Google’s ARCore, ... Read more

The gift you actually want for Christmas: Wikitude SDK with ARKit

They say it ‘Tis the season to be jolly’, so Wikitude is doing its part to help spread the holiday cheer… the developer way! First, the good news: ARKit is now integrated into the Wikitude SDK and is available for testing. You can get the first developer preview for JavaScript and Native SDKs on our ... Read more