Introducing the next generation of CLOUD and SDK 9.1

Eva Triantafillopoulou

The latest Wikitude SDK release delivers improved Object Tracking, support for URP, new samples, and enhanced platform performance. It also introduces an Enterprise Script for objects and a massive Cloud Recognition makeover.

After a successful new version launch, that introduced the advanced Expert Edition, the latest improvement, quality assurance, and maintenance cycle has made Wikitude SDK even more powerful in version 9.1. Check what is new:

Subscription clients can download Wikitude SDK 9.1 to immediately start working with the latest version.

Wikitude SDK Expert Edition 9.1

Wikitude SDK 9.1 Expert Edition features at a glance:

• High-end Image Tracking (single & multiple)
• Cylinder Tracking (single & multiple)
• Object Tracking (single & multiple)
• Multiple Trackers (image + object + positional tracking)
• Performance and stability
• Support for Unity URP
• Multiple Object Tracking sample

New and improved features in Expert Edition 9.1

Improved Object Tracking

Launched in 2017, Object tracking is now as stable and reliable as ever before. With Wikitude SDK 9.1, developers can expect even less jittering when tracking objects, and improved behavior when the user is working with camera zoom during the AR experience.

Unity Universal Render Pipeline (URP) support

Wikitude SDK 9.1 introduces support for URP. This powerful rendering pipeline from Unity brings the following benefits:

• Increased rendering speed
• DOTS support
• VFX graph support
• Shader graph support
• Wikitude URP helper tool in Unity to easily apply changes to sample scenes

You may download the required Universal RP v7.2.1 package and find detailed information and instructions in the Wikitude URP documentation.

New Multiple Object Tracking sample

The Wikitude documentation with SDK 9.1, introduces a new Unity EE sample that enables users to test the innovative Multiple Object Tracking feature.

Wikitude developers now have the resources to easily cut out and create objects to use for experimenting with interactive Multiple Object Tracking technology.

The new sample contains 3 chemical elements represented in the form of dodecahedrons, and enables users to combine them to create up to 5 different molecular compounds:

• CO (Carbon monoxide)
• CO₂ (Carbon dioxide)
• O₂ (Oxigen)
• H₂O (Water)
• CH₂O (Formaldehyde)

This interactive Multiple Object Tracking AR experience does not require the latest and greatest smart devices to work, and runs smoothly on most modern smartphones. Check the documentation and try it out for yourself! 

Wikitude SDK Professional Edition 9.1

Wikitude SDK 9.1 Professional Edition features at a glance:

• Geo AR Tracking
• High-end Image Tracking (single & multiple)
• Instant Tracking
• Object Tracking
  • decreased jittering when tracking
  • Improved behavior when using camera zoom
• Performance and stability

New Wikitude services and support

Wikitude Enterprise API Script for object targets 

To work with Wikitude Object Tracking technology, some pre-processing is involved to transform the target data into a WTO file – which contains all the information required to recognize and track a certain target.

Although one can create these files via a RESTful API, in certain scenarios (and security policies) uploading object target assets to the Wikitude Server is not the preferred solution.

The Wikitude Enterprise Script allows developers to create WTC (for image targets) and now also WTO files (for object targets) offline in their own environment, on a Linux machine.

Contact our team to generate object target collection on-premises.

Cloud Recognition v2.0

Wikitude’s fast, scalable, and reliable recognition solution for large image target collections went through a massive makeover. The platform now allows developers to create image target archives in a fraction of the time and has boosted target recognition distance and speed.

This update is the final step of a large internal project re-working all internals of the Wikitude Cloud Recognition services. With this update you will enjoy:

• Faster target collection generation – especially useful if target collections grow bigger
• Improved recognition rates: this means many more images will be successfully recognized
• Faster recognition and recognition from a larger distance
• Support for transparent images: we introduced this feature to on-device recognition in SDK 8.5, now you can upload images containing transparent areas as well for Cloud Recognition

The comprehensive update has sped up the target collection archive generation processing time over 1000-fold. And, as seen in the video below, target recognition speed and distance is considerably higher:

Bring your large image collection to life and work with the powerful features and upgraded performance of the new Wikitude Cloud Recognition v2.0. 

The new update will be rolled out behind the scenes and enabled for Cloud customers (EU server) automatically in the next weeks without a need for updating the cloud archive or SDK.

Get started with Cloud Recognition v2.0 today, and stay tuned as we prepare to bring further exciting news to our Cloud Recognition service!

Download Wikitude SDK 9.1

Active Wikitude SDK subscribers are entitled to the respective SDK version updates released throughout their term. Follow the links below to update your Wikitude SDK license:

• Wikitude AR SDK for Android
• Wikitude AR SDK for iOS
• Wikitude AR SDK for Windows
• Wikitude AR SDK for Unity Professional Edition
• Wikitude AR SDK for Unity Expert Edition
• Wikitude AR SDK for Cordova
• Wikitude AR SDK for Xamarin
• Wikitude AR SDK for Flutter
• Wikitude AR SDK for HoloLens

New to Wikitude? Download a free Wikitude trial version for testing purposes and contact our team to discuss upgrade possibilities.

To explore all SDK options, including smart glasses, plugins, and other dev tools, please access our download page:

Interested in creating an AR project of your own? Access our store to choose your package or contact our team to discuss your specific AR requirements in detail.