SDK releases

Object Tracking 30% faster: Download SDK 9.5

Wikitude SDK 9.5 is out now, delivering unparalleled Object Tracking experiences.

Please welcome our last release of the year. SDK 9.5 brings support for Android 11, two new AR samples, and significant improvements in our computer vision engine for developers to enjoy in both the Professional and Expert editions of the Wikitude SDK.

You can test SDK 9.5 by downloading your SDK of choice here.  

Do you have a subscription license? Download our latest release to update your platform free of charge.

Wikitude SDK 9.5 highlights

30% faster Object Tracking

With this release, the Wikitude computer vision engine gets a significant upgrade, resulting in a 30% faster object tracking speed rate.

This upgrade delivers unparalleled AR experiences based on real-world objects and scenes.

The latest Object Tracking update delivers:

  • 30% speed improvements for object tracking
  • More accurate tracking under challenging conditions (light, noisy environment, etc.)
  • Faster initial recognition of objects
  • Overall performance improvements for recognition and tracking

Object & Scene Tracking covers a wide variety of use cases from supporting maintenance and remote assistance solutions, to augmenting museums pieces, enhancing consumer products like toys, and much more.

Watch our latest Unity tutorial on how to work with multiple object tracking to get started.

Developers can create object tracking AR experiences using images or 3D models as an input method (such as CAD, glTF 2.0 and more).

Check out our interactive AR tracking guide to see the best feature for your specific use case.

New Wikitude samples for Expert Edition

The Wikitude sample app gets an upgrade with SDK 9.5. Unity developers can hit the ground running with two new samples:

  • Advanced rendering making use of ARKit 4 and ARCore advanced functionality

With this sample, you will be able to use ARKit, ARCore, and Wikitude capabilities in a single development framework, making the best of Unity’s AR Foundation. With advanced rendering, AR experiences get more immersive and realistic – leveraging people occlusion, motion capture, scene geometry, and more.

  • Multiple extended images

Bring image tracking experiences to a whole new level.

This new sample enables creating more interactive AR experiences by allowing targets to interact with each other and perform specific actions according to the developer’s needs. It’s ideal for games, sales material, marketing campaigns, and enterprise use cases such as training and documentation.

For full details on this release, check out our change log.

How to get SDK 9.5?

Ready to start developing? Wikitude makes it easy. Select an SDK, get a free trial, and start with your next augmented reality experience today.

Ready to launch your project? Seize the chance to take advantage of our Cyber Week (until 4.12.2020). Use code cyberweek15 to get 15% OFF your Wikitude SDK via our online store.

New to Wikitude? Welcome! We have a free Wikitude trial version for testing purposes. 

If you’re already a user and like what you’re testing, reach out to our team to discuss your upgrade to SDK 9.5. 

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SDK releases

New in: Explore Wikitude SDK 9.3

Update: SDK 9.3.1 is now available including iOS 14 compatibility.

August flew by, and a new release of the Wikitude SDK is already available. Today we’re bringing you version 9.3 of our AR toolkit, the last update for the summer. 

For AR developers, this means more stability for experiences based on 3D models as an input method, lots of improvements for Unity Editor, NatCorder support, and expansion of our Alignment Initialization feature for Professional Edition (PE). 

You can test SDK 9.3 by downloading your SDK of choice here

Shout out to our awesome community for all the feedback and interaction via the forum this month. Want to have your say? Share your feedback about this release and what you’d like us to improve in the next SDK. 

Got a subscription license? Download Wikitude SDK 9.3 to update your platform free of charge.

What’s new in the Wikitude SDK 9.3?

Tracking improvements for 3D model-based AR experiences (Expert Edition)

In our last update, we introduced a new 3D Model as an input method for developers working with Object Tracking. This means you can use glTF 2.0 files, CAD models, and other 3D model formats exclusively or additional to images to build AR experiences based on all kinds of physical objects.

SDK 9.3 delivers a smoother tracking behavior and better alignment with real objects. 

In addition to significant stability improvements, we roll out a new SDK mode called ‘Assisted Tracking’ to compliment Object Tracking. This mode gathers complementary information from native AR frameworks (ARCore, ARKit) to provide further tracking stability in typically rough conditions for the engine, such as heavy shaking or erratic movements.   

With this update, the Wikitude SDK gives everything you need to build robust AR in the widest variety of objects possible: from buildings to industrial machines, toys, home appliances, and more. 

As we bring this new method of building AR experiences to the finish line (public release), you can request early access by applying to our beta program. All you need to do is provide details on what kind of object you’re looking to augment, your project goal, and company details.

Stay tuned for what’s to come! These are the initial steps that are preparing our technology for future improvements, expansion of objects that can be tracked, and enhancements in our Object Tracking feature moving forward.


3D Model Object Tracking benefits at a glance:

  • More Object Target Input methods available
  • Input source materials are interchangeable and combinable (images + 3D models)
  • Broader range of recognizable and trackable physical objects
  • Improved recognition and tracking performance

Find out which method (3D Model or Image) is best for your specific use case by using our AR Tracking Guide

Alignment Initializer now available for Professional Edition

Our Alignment Initializer feature now became available in the Wikitude Professional Edition and received a performance boost for Expert Edition. 

Based on initial experiments by some of our early beta testers, SDK 9.3 has received additional improvements in the initialization behavior. In particular,  the new release features improved accuracy when initialization is correctly triggered. This means that the alignment initialization process has become more selective, which guarantees significantly improved customer experience. With a smoother and more intuitive process, developers can expect more reliability when tracking objects what may look alike.

 When pointing a device to recognize an object, the improved Alignment Initialization guides the user towards a pre-defined viewpoint, rapidly kicking off the AR experience. 

You’ll benefit from more stability when tracking objects and less jitter for Object Tracking experiences based on 3D Models (Expert Edition) and images (Professional and Expert Editions). 

Improved experience for Unity developers

The Wikitude Unity plugin makes it easy to create cross-platform apps with immersive augmented reality functionalities within a single development environment. 

Thanks to the feedback of our devoted community in the forum and customer discussions, we were able to identify and improve several features within the Unity Editor, delivering a smoother development experience for Wikitude users.

SDK 9.3 brings the following improvements:

  • Point Cloud preview is now properly destroyed upon unloading of a scene 
  • Fixed Live Preview webcam augmentation pose
  • Removed duplicate event setter in all tracker inspectors (Expert Edition only)

Additionally, our team took the opportunity to include compatibility for the popular NatCorder, a lightweight API that allows you to record videos in just a few steps in Unity. 

Other main features developers can now enjoy include recording MP4 videos, animated GIF images, JPEG image sequences, and WAV audio files, as well as recording any texture (or anything that can be rendered to texture) or any pixel data.

Support for iOS 14

It’s official: Apple has released it’s the Golden Master to third-party developers and Wikitude developers get access faster. SDK 9.3.1 includes full compatibility for iOS JavaScript, iOS Native, Unity (Professional and Expert Editions), Flutter, Cordova and Xamarin.

How do I get SDK 9.3?

It’s easy! Just choose your SDK of choice, get a free trial, and start with your next augmented reality experience today.

New to Wikitude? Welcome! We have a free Wikitude trial version for testing purposes. 

If you’re already a user and like what you’re testing, reach out to our team to discuss your upgrade to SDK 9.3. 

Wikitude Download PAGE

Toys & Games

Augmented Reality Toys

Building the next generation of immersive play.

Augmented Reality Toy experience feat. Remote Control Carrera® Car

Augmented Reality is shaping the future of play. From physical toys to card games, 2020 has seen a rapid expansion of AR-powered experiences for kids.

To demonstrate how toy manufacturers can leverage the technology, Wikitude created an impressive Augmented Reality Toy experience for a remote control car. It not only shows the reliability of Object Tracking but also introduces innovative simultaneous AR Tracking functions (Object + Image + Positional Tracking).

What is real and what is digitally augmented?

The objective of the toy racer is to complete two full laps in the least amount of time without surpassing the digital boundaries of the augmented track.

Augmented Reality Toy Experience Analysis

Technology Used in the AR Experience

The interaction between the real-world toy car and digital elements is powered by Wikitude Object and Image Tracking augmented reality combined with ARKit and HoloLens Positional Tracking (also compatible with tablets and smartphones).

Augmented Reality Demo with Simultaneous AR Tracking: Object + Image + Positional

Wikitude Object Tracking

Object Target: Carrera® Remote Control Toy Car

With the advances in Wikitude Object Tracking technology, it is possible to create reliable AR experiences that perform exceptionally well even under challenging circumstances.

The Object is detected and continues to be precisely tracked. The interactive augmentations appear in accordance with the toy’s position, speed, and movements.

Augmented Reality Demo: Object Tracking

Object augmentations to take notice:

  • blue target indicating that the object is being tracked
  • exhaust fumes released when the car is parked
  • exhaust flames that react according to direction and speed
  • tire marks on the asphalt

Wikitude Image Tracking

Image Target: Start/Finish Line

The image target plays an important role in the AR demo as it functions as an anchor point to properly position and lock the digital race track in the desired place.

The augmented finish line board also records lap times and lap turns. A ranking board appears at the end of the race as well.

Augmented Reality Demo: Image Tracking

External Positional Tracking 

For this demo, ARKit and HoloLens positional tracking was used. Keep in mind, however, that other Positional Tracking providers like ARCore or our own Wikitude Instant Tracking SLAM technology could have been used as well.

ARKit Positional Tracking: Digital Race Track

The augmented race track and other digital elements remain steady on the physical asphalt.

Augmented Reality Demo: ARKit Positional Tracking

Microsoft HoloLens Positional Tracking

Wikitude has optimized its AR SDK to support Microsoft HoloLens 1 mixed reality headset devices. In this demo it allows racers to visualize the AR experience in real time.

Augmented Reality Demo: Microsoft HoloLens Positional Tracking

Interactive Digital Augmentations

As seen in the images, the race track has a series of extra digital components apart from the track boundaries itself. 

Observe how the toy car knocks down piles of tires, flags, signs and any digital content in its path.

Augmented Reality Demo: Interactive 3D augmentations Tracking

AR Features Running Simultaneously

Below you can see all AR components – object, image and the positional feature being displayed, tracked and working simultaneously.

Check how the flags on the track turn green as the car passes by.

Augmented Reality Demo: Wikitude Object Tracking + Wikitude Image Tracking + External Positional Tracking

360° Object + Image + Positional AR Tracking

Tracking and augmentations remain steady and persistent at any angle.

360 degree Object + Image + Positional Tracking

First seen at AWE – Live AR Demonstration

Many of the attendees of AWE USA 2019 got to see this awesome AR toy experience in action at the Wikitude booth as well as during Wikitude CTO Phil Nagele’s talk

AWE USA 2019 - Live AR Demonstration

Interested in creating an AR project of your own? Talk to one of our specialists and learn how to get started.