Wikitude SDK 9.9 unlocks the power of augmented reality for Flutter 2.2
Wikitude was the very first AR platform to offer official support for Flutter. And now you can bring even more powerful augmented reality features to your Flutter-based apps.
Our latest release, SDK 9.9, delivers location-based AR, image and object tracking, markerless AR, and a wide range of features allowing Flutter developers to augment the world around them in just a few hours.
Wikitude’s Flutter Plugin is based on the JavaScript API and comes with the complete package: comprehensive AR library/framework, sample app, and documentation.
In combination with the Wikitude SDK, Flutter’s 2.2 release brings more options for polish and optimization, iOS performance improvements, Android deferred components, and more.
For those hearing about Flutter for the first time, it is Google’s open-source mobile application UI development framework used to build natively-compiled apps for iOS and Android.
The ease of use and constant improvements in this framework makes Flutter one of the most popular development tools among the community, surpassing an astonishing 2 million users mark in just 3 years.
Get started with augmented reality for your Flutter-based application.
Curious what else is new in the Wikitude SDK 9.9? Head over to our release notes to learn more.
Wikitude developers can benefit from Unity 2020.3 LTS support for both Professional and Expert SDK Editions and further improvements.
SDK 9.7 introduces several upgrades for our Unity developers, starting with support for Unity 2020.3. This ensures your augmented reality experiences will run as expected with the latest version of Unity.
In addition, Wikitude SDK Expert Edition got better and faster with this release, including the following highlights:
The latest Object Tracking update delivers:
Improved performance of Object Tracking from 3D models in Unity Editor on Windows
Unity Editor now shows a warning in case particle effects are disabled
Alignment Initializer with significant improvement on jitter (see video below)
3D model object tracking
Object tracking also gets an upgrade on Wikitude SDK 9.7.
Thanks to the feedback of our beta testers, we’ve enhanced our 3D model-based tracking to support low-texture objects including vehicles, industrial machinery, and more.
A new visualization of 3D model information directly in the Unity Editor comes to facilitate the workflow for developers working with Wikitude’s Object Tracking.
How do I get SDK 9.7?
It’s easy! Just choose your Unity SDK of choice (Professional or Expert Edition), get a free trial, and start with your next augmented reality experience today.
Curious what’s the difference between Professional and Expert? Learn more.
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 9.7.
Augment bottles, cans, cosmetic containers, cups, and more with Wikitude cylinder tracking
Wikitude developers can now create even more robust AR experiences that are activated by scanning single or multiple cylinder targets.
2020 and 2021 have pushed marketers and product developers to think outside the box, exploring new ways to connect with consumers in the context of the global pandemic.
This means brands can bring to life products with images wrapped around cylinder-shaped objects such as drinking cans, wine bottles, longnecks, aluminum tin cans, cosmetic bottles, and other tubular-shaped containers.
SDK 9.6 brings significant performance improvements for cylinder targets ensuring smooth AR experiences with augmented videos, images, buttons and 3D models which can be perfectly wrapped around the target.
Trading experimental web experiences to robust companion apps, brands now leverage their packaged goods with long-lasting consumer engagement thanks to AR.
Create your first cylinder tracking project in just a few steps with this video tutorial showing how you can use Unity to build an AR experience for Android or iOS.
Need some inspiration? See how Mojokaii, one of the fastest-growing gaming booster energy drinks brands, using Wikitude’s SDK 9.6 to create immersive experiences for their players.
Cylinder tracking is available for Unity in our Expert Editions SDK via our download page. It comes with a handy sample app (included in the download package) so you can create a similar experience with your own assets in 10 minutes or less.
Unlock the power of AR + CAD with SDK 9.6
But not only Cylinder tracking got a massive update in this release. Developers working with our 3D model Object Tracking will also feel a massive performance improvement in this feature.
With this update, augmented reality experiences based on the recognition of CAD, glTF 2.0, other 3D models are ready to be fully integrated into commercial projects across-platform and devices.
Want to be even more productive with the Wikitude SDK? In this release, we introduce compatibility with the AR Foundation Editor Remote plugin. You can now build and run your AR apps in the Unity Editor more efficiently. This third-party plugin runs your Unity experience directly on a device connected to your computer even when using AR Foundation.
Curious what else is new in Wikitude’s first release of 2021? Check out our release notes for Professional Edition SDK and Expert Edition (includes cylinder targets and 3D model tracking).
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.
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.
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.
You spoke. We listened. Work with the new Wikitude SDK 9.2 to create high-performing Object Tracking AR experiences with 3D model files.
Wikitude products are being constantly perfected, adapted, corrected, and updated every couple of months to ensure our customers have access to the market’s latest and greatest AR features and top-performing AR tools.
This Wikitude SDK 9.2 release introduces highly requested new features and functions, and several product improvements and updates:
Wikitude Object Tracking technology is the AR feature of choice when digital content needs to be seamlessly superimposed and attached to real-world objects.
Today, Wikitude is proud to introduce the beta version of a new object target input method using 3D models. This feature enables better recognition and tracking and incorporates a greater range of recognizable and trackable physical objects.
As many of you may already know, a Wikitude Object Tracking AR experience is triggered when the user’s device finds an equivalent target reference in the live camera viewfinder. This target reference is a digital pre-recorded map of the physical object called object target(.wto). The object target reference map, up until today, could be created with images as the source material.
With Wikitude SDK 9.2, beta testers now have the additional possibility of using 3D models as the source material for the object target reference map creation process.
The new augmented reality object tracking input method works with glTF 2.0 files, CAD models, and other 3D model formats.
3D Model Object Tracking benefits at a glance:
More object target input methods available: images and 3D models can be used as source materials
Input source materials are interchangeable and combinable: work with solely images, solely 3D models, or a combination of the two
Greater range of recognizable and trackable physical objects: using 3D models as input is ideal for feature-poor, reflective, and low-textured objects
Improved recognition and tracking performance: 3D models have the potential to expand the target map and improve object tracking performance
By adding the option to work with 3D models as input for creating object references, Wikitude now offers the broadest choice when it comes to working with Object Targets.
From a developer perspective, both approaches (image-based and 3D model) have their justification. Advantages of both approaches:
Image-based generation
3D model generation
• Low entry barrier: images from a regular smartphone are enough
• 3D model provides accurate information about the object
• Supports objects in which no 3D model is available
• Can support object with varying colors
• Quick to try out
• Can support textureless objects with uniform surfaces and high amount of reflective parts
• Reference map can be easily extended with additional images
• Easy to integrate into existing CAD/CAM workflow
• Can carry several “versions” of the same object with different visual properties, increasing stability and recognition accuracy
• Robust against light changes
• Captures visual information that is very close to what the user will see
• The actual object does not have to be present to generate the Object Target.
• Larger scenes can be easily covered with this approach
• Full 360° object is available as reference, which might be hard for objects that are difficult to access
Start working with 3D Model-based Object Tracking: beta testing program
Are you already working with 3D-model projects and have experience with AR? See the potential for an interesting 3D model based Object Tracking AR use case? Contact us for a chance to be part of the beta testing team. Selected partners will receive a free individually customized Object Target reference map for testing.
The Wikitude AR SDK offers an Automatic Initialization process, meaning a user can recognize and track objects (and images) by freely pointing a device from any angle and distance.
SDK 9.2 introduces an alternative process called Alignment Initialization that guides the user towards a specific (usually ideal) viewpoint when pointing a device to recognize an object.
Benefits of the new Alignment Initializer object recognition function:
Can be used for objects that are hard to recognize automatically: objects that have no clear texture or texture is unreliable. An unreliable texture could be the case that an object has different colors or that the areas keep changing (e.g. mud, stickers,…).
Guides the user to the ideal viewpoint (perspective) from which the object can be recognized and tracking can be started: this viewing guide helps to communicate what the user is expected to do. The actual UI implementation of the Alignment Initializer can be freely chosen by the developer and can range from showing an outline to a rendered 3D view that can be manipulated by the user.
Testing Alignment Initializer: sample app
Download Wikitude SDK Expert Edition 9.2 to test the new Alignment Initializer feature which contains an Alignment Initialization AR experience using a traditional traffic stop sign.
High-end Image Tracking (single & multiple)
The Wikitude team works closely with clients and thankfully welcomes all product feedback coming from our awesome AR community. Thanks to this fruitful exchange, we were able to implement considerable Image Tracking improvements in this release.
When working with Image Tracking in SDK 9.2 expect great tracking stability when the experience is submitted to short and quick hand movements during the AR scan (independent of ARKit/ARCore). When ARCore/ARKit is present, SDK 9.2 users can expect even more stabilized tracking for image targets.
Cylinder Tracking (single & multiple)
SDK 9.2 brings improved tracking stability for Cylinder targets when ARCore/ARKit is present.
Cloud Recognition v.2
The previous Wikitude release (SDK 9.1) introduced a new generation of online Image Tracking allowing users to generate image target archives up to 1100x faster with Cloud Recognition v2.0.
Since then, our technical team ran a series of tests and experiments to optimize the service even further:
Thanks to an adaptation of the data communication between the SDK and the server, image targets are now recognized from twice the distance using Cloud Recognition v2.0.
Bring your large image collection to life and work with the powerful features and upgraded performance of the new Wikitude Cloud Recognition v2.0.
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:
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.
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:
Wikitude SDK 9.1:
Improved Object Tracking
Support for Unity URP
New Multiple Object Tracking sample
Enterprise script for objects
Cloud Recognition v2.0
Subscription clients can download Wikitude SDK 9.1 to immediately start working with the latest version.
Wikitude SDK Expert Edition 9.1
Advanced augmented reality features for development in Unity.
Wikitude SDK 9.1 Expert Edition features at a glance:
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
“The Universal Render Pipeline (URP) is a prebuilt Scriptable Render Pipeline, made by Unity. URP provides artist-friendly workflows that let you quickly and easily create optimized graphics across a range of platforms, from mobile to high-end consoles and PCs.”
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!
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
Generate image target archives up to 1100x faster with Wikitude 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:
Cloud Recognition: v1 x v2
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.
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:
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.
We’re excited to introduce SDK 9, a new way for developers to build more sophisticated and immersive augmented reality and solutions.
With this release, Wikitude introduces a new edition of its AR tool:
SDK 9.0 Expert Edition, which brings advanced AR features for Unity experts.
In addition, our standard SDK has also been updated bringing several improvements for the classic AR features for professional developers.
Continue reading to explore the details and features of each Wikitude SDK edition.
Wikitude SDK 9.0 Expert Edition
Create advanced AR experiences in Unity with the new Wikitude SDK Expert Edition.
Wikitude Expert Edition is a brand-new product built to better support agencies, enterprises, and professional AR developers that wish to create high-performing AR solutions and experiences in Unity.
The new Expert platform introduces advanced augmented reality features that can be used in combination with external native AR frameworks, such as ARKit and ARCore or as a stand-alone tool.
Wikitude SDK 9.0 Expert Edition features at a glance:
Thanks to important breakthroughs achieved by the Wikitude development team, developers can now instantly recognize and track multiple 2D images in more challenging environments.
Use cases working with a large number of image targets experience robust performance and the possibility of interaction between the different targets.
Once targets are recognized, augmentations lock onto the physical image, presenting minimum jitter and high stability. Additionally, lost targets are re-localized with ease and from further distances.
To increase speed of app development, the new high-end Image Tracking technology is available for regular ZIP files containing images in plain JPG or PNG format (no need for pre-processing/WTC conversion).
The Wikitude SDK Expert Edition was tested and approved by over 20 agencies specialized in AR and is now available for download for our community.
Cylinder Tracking (single and multiple)
Our community has spoken and we have delivered! Wikitude SDK 9.0 Expert Edition introduces the highly requested cylinder target tracking AR feature.
Expert developers can now create AR experiences that recognize and track images wrapped around cylinder-shaped targets such as drinking cans, wine bottles, longnecks, aluminum tin cans, cosmetic bottles, and other tubular shaped product containers.
And the tech is not limited to one target. Use the multiple cylinder function to track multiple targets simultaneously and have the augmentations interact with each other.
Cylinder Tracking Tutorial
Learn how to add augmentations to cylinder targets using the new Wikitude SDK Expert Edition for Unity:
Multiple Object Tracking
With the increasing number of object tracking use cases deployed across industries, Wikitude now gives developers the ability to build more complex experiences using different kinds of physical objects.
With the Wikitude Expert Edition, you can now create AR experiences that recognize and track multiple objects at the same time.
Multiple Object Tracking can be used to track identical as well as different types of objects simultaneously, according to your use case. So whether you are augmenting various toys, industrial machines or any other type of object, Expert Edition delivers the best performance on high-end devices, across platforms.
Multiple Trackers was first presented in an interactive remote control car racing demo at AWE 2019 and the technology got a lot of traction since its introduction. This feature combines Positional Tracking (ARKit, ARCore), with Wikitude’s Object and Image Tracking.
The technology is now available through Wikitude SDK 9.0 Expert Edition. Download now and start innovatively combining multiple features to create a truly interactive AR experience.
Easily and quickly combine Wikitude Image + Object Tracking with other features from ARCore/ARKit.
AR Foundation is the Unity middleware for wrapping ARKit and ARCore. With the Wikitude Expert Edition, you can use features from ARKit and ARCore directly without Wikitude integrating them.
Object Visualization in Unity Editor
As the name suggests, with the Expert Edition SDK you can visualize the object target point cloud directly in the Unity development environment. This feature results in a faster development process when creating Object Tracking AR experiences.
Get started with Wikitude Expert for Unity
We are committed to providing the best tools and the latest technology to help you create powerful AR experiences.
Create powerful AR experiences in JavaScript, Unity, Cordova, Xamarin, Flutter, & Native API with the classic Wikitude SDK Professional Edition.
In parallel to launching the new Expert Edition, today we are also releasing an update of the classic Wikitude SDK, which is now called Wikitude SDK Professional Edition.
Traditionally built with various AR features and a broad framework choice, professional developers have the flexibility to create powerful AR apps in JavaScript, Unity, Cordova, Xamarin, Flutter, & Native API.
Wikitude SDK 9.0 Professional Edition features at a glance:
High-End Image and Multiple Image Tracking – NEW
Visualization of .wto in Unity Editor – NEW
ARCore update
Several performance and stability improvements
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:
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.
The latest Wikitude AR platform release includes updated support for Epson Moverio smart glasses, new Flutter sample app, and stability improvements
The Wikitude AR platform goes through regular quality assurance tests, and maintenance and development processes to ensure you have access to the level of quality you need to create high-performing augmented reality experiences.
SDK 8.10 contains all the latest platform maintenance and stability improvements; brings our optimized Epson Moverio AR SDK up to date; and includes the new, highly requested, Flutter sample app.
Epson Moverio
SDK 8.10 support for BT-300 and BT-350 Epson Moverio smart glasses
Starting off with the development that many of you have been waiting for: updated Epson Moverio Wikitude AR SDK.
The Epson Moverio devices are used by enterprises and consumers worldwide to deliver hands-free augmented reality experiences. Wikitude SDK 8.10 offers a fully optimized AR SDK for Moverio BT-300 and BT-350 smart glasses.
The Wikitude AR platform is adapted to make the best out of the unique features of both devices, ensuring optimal performance in a variety of environments and use cases. Among these customizations are:
Intel SSE optimization: providing best processing power and performance for both devices;
Optimization for stereoscopic view: enabling full 3D see-through (side-by-side view) support of Moverio smart glasses;
Personal calibration: enabling perfect alignment between the real world and AR content.
Access the link below to give the Epson Moverio AR SDK a try (download redirects to the signup page for a free trial). Subscription license users are entitled to this free update.
Sample app for Flutter. Another request from our awesome AR community
Wikitude was the very first AR platform to offer official support for Flutter. For those of you who are unfamiliar with it, Flutter is an open-source mobile application UI development framework toolkit created by Google. It is used to develop natively-compiled applications for iOS and Android from a single codebase.
The Wikitude documentation, with SDK 8.10, introduces a new Flutter sample app to help you add augmented reality technology to your projects.
The Flutter Plugin is based on our JavaScript API and includes the Wikitude AR library/framework, sample app, and documentation.
The Wikitude SDK is regularly inspected by our quality assurance team and optimized by our technical team so you can have access to high-performing tools that are always up to date.
As updates are frequent – and ideal for app maintenance and device compatibility reasons, we recommend choosing our subscription license, which includes one year of SDK update releases.
Download Wikitude SDK 8.10
Active Wikitude SDK subscribers are entitled to all SDK version updates released throughout their term. Follow the links below to update your SDK:
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.
Augmented reality apps based on Wikitude can now take full advantage of iOS 13 and Android 10 with SDK 8.9.
Good news: our augmented reality SDK is ready for both Android 10 and iOS 13 changes! Wikitude developers can benefit from Apple’s and Google’s OS updates as of today.
SDK 8.9 includes:
Support for iOS 13 and Android 10
UIWebView deprecation
Wikitude SDK accessibility via Maven (Android only)
Support for Apple iOS 13 and Android 10
In the past weeks, our development team has been digging deep into the public beta versions of the new Android 10 and iOS 13. With the official release of Android and Apple’s new version of their OSs, we’re excited to share that SDK 8.9 is fully compatible with both operating systems.
The official release of iOS 13 last week raised lots of excitement from the developer crowd.
The new OS and ARKit updates indicate that augmented reality remains key to Apple’s strategy for the upcoming years. The video below shows what’s in for Apple and AR in 2019.
Apple released #ios13 yesterday, watch our video to learn what's in it for #augmentedreality. #AR features was a big question after the recent Apple event, find our take on iOS13 in the video. Please comment below if we missed any new features that you saw. pic.twitter.com/DDqeSfUm7i
iOS 13 will be available on iPhone 6s or later versions. Here’s a full list of confirmed devices that can run Apple’s latest OS.
Android aficionados also get to enjoy the latest and greatest of Android 10 with SDK 8.9. And just because Google dropped its dessert naming scheme, it doesn’t mean we don’t have sweet news for AR devs.
Adaptive battery improvements will largely benefit the use of AR apps and recent updates on Google Play Services for AR (former ARCore) helps your app stick AR content into the world with Cloud Anchors. Also, a few additional devices will now have access to Google’s AR services.
Curious when your phone will get Android 10? Well, you might need some patience depending on the devices you work with…
Source: Google Developers blog
Skip double coding with SMART
If you can’t wait to make your AR apps compatible with these new OSs here’s how Wikitude can make your life easier: use our SMART feature.
Seamless AR Tracking (SMART) allows you to work with ARKit and ARCore under a single API. Yes, you read that right – it means no double coding needed. Learn how this feature can save you time (and money) when building your AR apps.
UIWebView deprecation
Starting with iOS 8, Apple replaced the UIWebView component with its own WebKit-enabled WebView (WKWebView) to add web content to apps. A web view component has always been a core part of the Wikitude SDK rendering HTML content as part of our JavaScript product.
With iOS 13 changes, Apple has recently started to issue warnings to developers who try to submit an app to the App Store that includes code referencing UIWebView. This is a breaking change for iOS apps.
Given the move from the App Store team, Wikitude SDK 8.9 for iOS now ships without UIWebView, so our SDK users can easily comply with those regulations.
All customers are strongly recommended to upgrade their iOS apps to avoid any issues with Apple’s new regulation. Customers holding an active Wikitude SDK subscription are entitled to a free upgrade. If you have any questions feel free to reach out to our team.
Wikitude SDK now accessible via Maven
Updating the Wikitude SDK just became easier for Android developers. With this release, you can access the latest version of Wikitude’s technology through Maven straight from Android Studio.
If you’re just getting started with Android development, Maven is an established dependency package manager used widely in Java-based projects. Its purpose is to simplify builds of your application, especially when using third-party libraries.
Traditionally, the Wikitude SDK is available as a downloadable package, which included the actual Java libraries as .aar and .jar. With this new flow using Maven, developers will be able to update the SDK version number in one configuration file (build.gradle).
Wikitude provides files for JavaScript API, Native API, and Vuzix for now. See details on how to set up the Maven repository.
Download Wikitude SDK 8.9
Active Wikitude SDK subscribers are entitled to all SDK version updates released throughout their term. Follow the links below to update your AR SDK:
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.
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