Suppliers Austria Wikitude
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Wikitude

Austria
2009
Private
< $10m
11 - 50
Open website

Wikitude is a mobile Augmented Reality (AR) technology provider based in Salzburg, Austria. Founded in 2008, Wikitude initially focused on providing location-based Augmented Reality experiences through the Wikitude World Browser App. In 2012, the company restructured its proposition by launching the Wikitude SDK, a development framework utilizing image recognition and Tracking, and geolocation technologies.

The Wikitude SDK is the company's core product. First launched in October 2008, the SDK includes image recognition & Tracking, 3D model rendering, video overlay, location based AR, and SLAM technology (Simultaneous Localization And Mapping) which enables object recognition and Tracking, as well as markerless instant Tracking. The cross platform SDK is available for Android and iOS operating systems, and is optimized for several smart eyewear devices.

The Wikitude app was the first publicly available application that used a location-based approach to Augmented Reality.

Its fully in-house developed AR technology is available through its SDK, Cloud Recognition and Studio products enabling brands, agencies and developers to achieve their AR goals. With about 100,000 registered developer accounts, Wikitude has grown to be the world’s leading independent AR platform. The Wikitude SDK is an integral part of more than 20,000 apps run by both small enterprises as well as many Fortune 100 companies across multiple industries.

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Wikitude’s IoT Snapshot maps the range and focus areas of Wikitude’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.
Technologies
Infrastructure as a Service (IaaS)
Cloud Storage Services
Application Infrastructure & Middleware
Middleware, SDKs & Libraries
Analytics & Modeling
Virtual & Augmented Reality Software
Wikitude’s Tech Stack maps Wikitude’s participation in the IoT tech stack.
  • Application Layer
  • Functional Applications

  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service

  • Control Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors

  • Physical Layer
  • Robotics
    Drones
    Wearables
  • Supporting
    Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capacity
None
Minor
Moderate
Strong
Number of Case Studies1
Lufthansa Innovates Aviation Demo With Augmented Reality
Lufthansa Innovates Aviation Demo With Augmented Reality
The shipping and installing the physical demo equipment to be displayed at trade show exhibitions is expensive, time consuming and requires significant manpower.
Number of Software1
Wikitude SDK
Wikitude SDK
Wikitude AR SDK is the market’s most complete augmented reality SDK, enhancing apps with Markerless Instant Tracking, Object Recognition & Tracking, Scene Recognition & Tracking, Image Recognition & Tracking, as well as Geo-location AR features.  OBJECT & SCENE RECOGNITIONObject recognition enables real time and 360° augmented reality experiences around real world objects, that were pre-defined by you. With the latest developments, Wikitude launched Scene Recognition, supporting recognition and tracking of larger objects, rooms, and scenes. The feature is based on Wikitude’s Simultaneous Localization and Mapping (SLAM) engine that is also used for Instant Tracking.  INSTANT TRACKINGThe Instant Tracking technology makes it possible for AR applications to overlay digital interactive augmentations on random surfaces, without the need of a marker. Wikitude provides it’s own SLAM based Instant Tracking and, when the devices allow it, it triggers the SMART feature. SMART switches to Google’s ARCore or Apple’s ARKit Instant Tracking, depending on device support.  IMAGE RECOGNITIONThe Wikitude SDK embeds in-house built image recognition and tracking technology. It works with up to 1000 images that can be recognized offline. Developers can switch seamlessly between augmenting recognized images and geo-located points of interest within the live camera image. LOCATION-BASED SERVICESThe Wikitude SDK comes with many convenient features that simplifies working with geo-referenced data. The design and layout of your points of interest are fully customizable to suit your needs. Depending on the use-case, location is used via GPS (Global positioning system), network or beacon. MULTIPLE IMAGE TARGETThis feature enables recognition of several images simultaneously. Once the images are recognized, developers will be able to layer 3D models, buttons, videos, images and more on each target. Additionally, augmentations will be able to interact with each other based on the targets’ positions. Multiple image target recognition can be used to bring interactivity to many apps.  EXTENDED TRACKINGExtended Tracking allows developers to go beyond image and object targets. Once the target is recognized, users can continue the AR experience by freely moving their devices without the need of keeping the marker in the camera view. This feature shares the same SLAM algorithm as Wikitude’s Instant Tracking feature, providing robust performance for Wikitude-based apps.  CLOUD RECOGNITIONWikitude’s Cloud Recognition service allows developers to work with thousands of target images hosted in the cloud. Wikitude’s technology is a scalable solution with very quick response time and high recognition rate.  3D AUGMENTATIONSThe Wikitude SDK can load and render 3D models in the AR scene imported from your favourite tool like Autodesk® Maya® 3D or Blender. Use the Unity3D plugin to integrate Wikitude’s computer vision engine into a game or application fully based on Unity3D.
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