Wikitude SLAM, SMART 7, and SMART 8 SDKs

You may have heard about Wikitude SLAM, the proprietary technology that allows you to use image-based SLAM to make AR experiences. But what is it, and how does it work? This article focuses on the Wikitude SLAM, SMART 7, and SMART 8 to help you create stellar AR experiences. You can also check out our Wikitude SMART tutorials to learn more about this proprietary technology.

Wikitude SLAM

With the SDK 7 hit-testing API, developers can now use Wikitude's award-winning SLAM engine to build augmented reality experiences. The award-winning SLAM engine analyzes real-world points from the camera frame to calculate depth and position information for elements in AR scenes. Its new image tracking capabilities allow developers to create augmented reality experiences that are truly immersive. Wikitude's SDK is now available for both Android and iOS.

Wikitude SMART

With the SMART image based Slam, a user's smartphone can track an object and layer content on it. It is possible to use multiple image targets for multiple AR scenarios, such as augmented reality smart glasses. Wikitude's SLAM technology can map both indoor and outdoor environments, and it is compatible with Android and iOS platforms. This SDK allows developers to work with large amounts of cloud-hosted target images.


SMART7 is a slam competition that uses Wikitude for image-based target recognition. The Wikitude SDK allows developers to create a mobile app that automatically recognizes and marks target images. This SDK is an image-based platform, which means that the image-based target recognition feature works for any type of device, including HD. This platform also provides developers with technical insight and documentation.


Wikitude software identifies feature points on the target image and can then stick augmentations to the image or overlay them on the image. The company's SLAM technology is a proprietary product that costs around two thousand Euros for an iOS and Android app. The company's latest release includes Object Recognition, an image-based SLAM that can map environments. The object-tracking software also recognizes three-dimensional objects.


SMART-based Augmented Reality technology (AR) provides a way to display augmented reality content on top of a target image, stick them around it, or map their environments. Wikitude was launched in 2017 and has improved its capabilities significantly. Its advanced image recognition algorithm recognizes targets even if they are not located within the target image's range. The latest addition to SLAM-based AR is Object Recognition. Object Tracking uses the same technology, but is able to work with three-dimensional objects.


With SDK 7, Wikitude has expanded its SLAM technology by adding object recognition and tracking capabilities. With this technology, brands and enterprises can build AR experiences and capture data in real time. After taking multiple pictures of an object, users can upload the images into the Wikitude Studio Manager to create a custom augmented reality experience. The SDK lets developers add 3D objects, videos, widgets, and more into the augmented reality experience.

Related Posts

How to Add a Wikitude Direction Indicator to Your AR App
How to Remove the Wikitude Free Trial Watermark
How to Use the Wikitude SDK
Download Wikitude for Android From the Market With Felgo
How to Upload Video to Wikitude Studio Manager
How to Use Wikitude to Automatically Recognize 3D Models