Virtual Reality

The best 8 augmented reality SDK for Android and iOS to use in Industrial Applications



Vuforia is an Augmented Reality Software Development Kit (SDK) for mobile devices that enables the creation of Augmented Reality applications.[1] It uses Computer Vision technology to recognise and track planar images (Image Targets) and simple 3D objects, such as boxes, in real-time.

This image registration capability enables developers to position and orient virtual objects, such as 3D models and other media, in relation to real world images when these are viewed through the camera of a mobile device. The virtual object then tracks the position and orientation of the image in real-time so that the viewer’s perspective on the object corresponds with their perspective on the Image Target, so that it appears that the virtual object is a part of the real world scene.

The Vuforia SDK supports a variety of 2D and 3D target types including ‘markerless’ Image Targets, 3D Multi-Target configurations, and a form of addressable Fiducial Marker known as a VuMark. Additional features of the SDK include localized Occlusion Detection using ‘Virtual Buttons’, runtime image target selection, and the ability to create and reconfigure target sets programmatically at runtime.[2]

Vuforia provides Application Programming Interfaces (API) in C++, Java, Objective-C++(a language utilizing a combination of C++ and Objective-C syntax), and the .Net languages through an extension to the Unity game engine.[3] In this way, the SDK supports both native development for iOS and Android while also enabling the development of AR applications in Unity that are easily portable to both platforms. AR applications developed using Vuforia are therefore compatible with a broad range of mobile devices including the iPhone, iPad, and Android phones and tablets running Android OS version 2.2 or greater and an ARMv6 or 7 processor with FPU (Floating Point Unit) processing capabilities.

Vuforia has been acquired by PTC Inc. in November 2015.

What your app can see

Using the Vuforia platform, your app can see a wide variety of things:

  • Object Recognition
  • Images
  • User Defined Images
  • Cylinders
  • Text
  • Boxes
  • VuMarks

Let’s have a look.

 Object Recognition

Object Recognition allows you to detect and track intricate 3D objects. It has been designed to work with toys (such as action figures and vehicles) and other consumer products.

Object Recognition can be used to build rich and interactive experiences with 3D objects. These experiences could be augmenting a toy with 3D content in order to bring it to life, overlaying a user manual on top of a consumer electronics device or leading a new employee through an interactive training process for a workplace device. Another simple application of Object Recognition is to unlock new in app content when a product is recognized.

Object Targets vs Image based targets

Object Targets are a digital representation of the features and geometry of a physical object. They are distinct from image based target types, such as Image Target, Multi Targets and Cylinder Targets that require the use of a planar source image. An Object Target is created by scanning a physical object using the Vuforia Object Scanner.

Target Type Target Source Recommended Uses
Image based targets planar images publications, packaging, flat surfaces
Object Targets feature scan toys, products, complex geometries

 Image Targets

Image Targets represent images that the Vuforia SDK can detect and track. Unlike traditional fiducial markers, data matrix codes and QR codes, Image Targets do not need special black and white regions or codes to be recognized. The SDK detects and tracks the features that are naturally found in the image itself by comparing these natural features against a known target resource database. Once the Image Target is detected, the SDK will track the image as long as it is at least partially in the camera’s field of view.

Image Target with teapot

 User Defined Targets

User-defined targets are Image Targets that are created at runtime from camera frames selected by the user. They share most of the capabilities of a standard Image Target with the exception that they do not support Virtual Buttons. 

Supported Environments

User Defined Targets should be captured and viewed under moderately bright and diffuse lighting.  The surfaces of the object should be evenly lit. Indoor scenarios generally work well. 

Cylinder Targets

Cylinder Targets enable you to detect and track images rolled into cylindrical and conical shapes. They also support the detection and tracking of images on the flat top and bottom faces of the Cylinder Target.

You can create Cylinder Targets with the Vuforia Target Manager by defining the side length and diameters of the Cylinder Target and adding the images that you want to detect.

Vuforia Image

 Text Recognition

Vuforia can detect words that belong to a pre-defined word list. The SDK provides a list of 100,000 commonly used English words that you can incorporate into your Text Recognition apps. You can also define custom word lists and filters that block words from being recognized.

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Supported characters

The Vuforia text recognition engine relies on the UTF-8 character encoding standard and is capable of recognising any character listed in Characters Supported by Text Recognition.


Muti-target example with dimensions

A Multi-Target consists of multiple Image Targets in a defined geometric arrangement. The position and orientation of each Image Target within a Multi-Target is defined relative to the origin of the Multi-Target, which is at its volumetric center.

All of the faces of a Multi-Target can be tracked at the same time because they possess a pre-defined pose relative to Multi-Target origin. This enables the entire Multi-Target to be tracked when any of its child targets has been detected. In this way, a Multi-Targets provides a common tracking reference for its child targets.  The corresponding TrackableResult (in this case a MultiTargetResult) provides a common pose, as opposed to the individual status and pose information provided for the individual Image Targets.

Multi-targets are created by defining a relationship among multiple existing Image Targets using the Vuforia Target Manager or by directly manipulating the Dataset Configuration XML file. The spatial relationship of the individual parts is stored in the XML file using simple transformations.

Cuboid Target

A Cuboid Target is a simplified Multi-Target which allows developers to quickly create cube or box shaped Multi-Targets in the Target Manager. To create a Cuboid Target, you must specify the dimentions of the cuboid and database where the Image Targets will be placed. Once the Cuboid Target is created, you must specify the images of each of the six sides of the cuboid. The Images for each side are uploaded to the database specified when the Cuboid Target was created.

Supported Images

Multi Targets can be created with the Vuforia Target Manager using JPG or PNG images in RGB or grayscale. The size of the input images must 2 MB or less. Features extracted from these images are stored in a database, which can then be downloaded and packaged together with the application. The database can then be used by Vuforia for run time comparisons.


VuMark is the next generation bar code. It allows the freedom for a customized and brand-conscious design while simultaneously encoding data and acting as an AR target. VuMark designs are completely customizable, so you can have a unique VuMark for every unique object. 

The VuMark provides a universal solution for delivering unique AR experiences on any object, while allowing the design freedom for a custom look and feel.  The VuMark also provides a simple method for encoding data such as an URL or a product serial number, and overcomes the limitations of existing matrix bar code solutions that do not support AR experiences and can detract from a product’s appearance.

VuMarks have application in both the enterprise and consumer markets. VuMarks are a game changer for the enterprise because they offer a scalable way to identify objects and overlay 3D step-by step instructions that indicate how to use them. This leads to significant cost savings for employees operating and servicing equipment. 

In the consumer market, VuMarks offer a reliable way to recognize and track toys, electronics, and tools. Consumer brands can create 3D experiences that are designed to show how to use the product or to add value with new digital features.

VuMarks vs Image Targets

VuMarks provide some of the same capabilities as Vuforia ImageTargets, in that they can be individually recognized and tracked by the Vuforia SDK. Both can be used to create rich Augmented Reality experiences. 

But there are also significant differences that make VuMarks especially useful for many enterprise and consumer applications.

⦁    VuMarks can present millions of uniquely identifiable instances
⦁    VuMarks can encode a variety of data formats
⦁    VuMarks enable you to differentiate among identical looking products based on their Instance ID 

The same VuMark design can be used to encode a range of unique IDs or data. This is especially useful when you need to be able to use the same image universally, yet need for that image to possess a unique identity and/or information.



Developer Classic Cloud  Pro
Cloud Recognitions
Cloud Recognitions
Cloud Recognitions
1,000 Targets 100,000 Targets >100,000 Targets
Free $499 / one-time per app $99 / mo. Call


Supported Glasses

  • Microsoft HoloLens Development Edition
  • ODG R-7
  • Epson Moverio BT-200
  • Vuzix M300
  • ODG R-7HL


Supported Viewers

  • Merge VR Goggles
  • View-Master Zeiss VR ONE
  • Go4D C1-Glass
  • Knox One VR
  • Knox Next VR Viewer



It is a valid and cheaper alternative to Vuforia.

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Monocular real-time 6 DOF camera pose tracking

  • Instant initialization
  • Fast relocalization
  • Robust to strong motion blur
  • Optimized for mobile devices
  • Optimized for low texture scenes

3D Object Tracking

Recognize and track a common 3D object with textures in real time. The object may have different shapes and structures.

  • Runtime target generation from standard wavefront obj model files
  • No strict limitations for the physical size of 3D objects
  • Recognize and track any 3D object after loading multiple objects
  • Recognize and track multiple 3D objects simultaneously

Screen Recording

Highly efficient and simple content recording solution.

  • Native high performance with little resource usage
  • Standard H.264/AAC/MP4 output format
  • Multiple choices for standard resolutions and customizable parameters
  • Android/iOS support

Planar Image Tracking

Recognize and track planar images in real time

  • Runtime target generation from standard images
  • Unlimited recognition times
  • Multi-target simultaneous detection and tracking
  • Simultaneous QR Code scanning and target tracking
  • Up to 1000 offline targets
  • Cloud recognition support

Concise API in Different Languages

Simplify AR development using the most convenient method

Available on Android/iOS/Windows/Mac OS

  • C API
  • C++11 API
  • traditional C++ API
  • Java API for Android
  • Swift API for iOS
  • Objective-C API for iOS
  • Unity3D API

Content and Interaction Support

Showcase the most compelling AR content with additional features.

  • Video Playback Using H.264 Hardware Decoding
  • Transparent Video Playback
  • QR Code Scanning
  • Unity3D 4.x support
  • Unity3D 5.x support
  • Unity3D 2017 support
  • 3D Engine Plugin Ready


  • EasyAR SDK Basic (FREE)
  • EasyAR SDK Pro ($499.00/License Key)



Wikitude’s all-in-one augmented reality SDK combines Instant Tracking technology (SLAM), Object Recognition and Tracking, top-notch Image Recognition and Tracking and Geo-location AR for mobile, tablets and smart glasses. The engine covers cross-platform AR experiences: native and javascript for both iOS and Android, with available Unity, Cordova, Titanium and Xamarin extension.

Wikitude’s cross-platform Augmented Reality SDK combines 3D Markerless Tracking technology (SLAM), Object Recognition and Tracking, Image Recognition and Tracking, as well as Geo-location AR for apps.

Build amazing location-based, marker or markerless Augmented Reality experiences with the Wikitude SDK. Enterprises, agencies and independent developers benefit from Wikitude’s tools to develop AR apps for Android, iOS, Smartphone, Tablet, Smart Glasses. Unity, Cordova/PhoneGap, Titanium, Xamarin – Wikitude has you covered!




Object recognition technology creates an additional touch point to interact with users, allowing real time and 360 degrees AR experiences around real world objects.Build augmented reality experiences using a variety of real-world objects.



Ditch the markers! Instant Tracking is the first feature using Wikitude’s SLAM technology. Easily map environments and display AR content without the need of a target image (markerless). This feature works in both indoors and outdoors environments. 



This 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 Tracking allows developers to go beyond targets. Once the target image 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 now shares the same SLAM algorithm as Wikitude’s Instant Tracking feature, providing robust performance for Wikitude-based apps. 


The Wikitude SDK embeds in-house built image recognition and tracking technology, which can be used out of the box. 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.



The 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.



The Wikitude SDK can load and render 3D models in the augmented reality scene. Import your 3D model from your favourite tool like Autodesk® Maya® 3D or Blender. Every 3D model Based on the new Native API, Wikitude offers a plugin for Unity3D so you can integrate Wikitude’s computer vision engine into a game or application fully based on Unity3D.



Wikitude’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. Includes 1,000,000 scan calls to the cloud service per month in each. Dedicated server options and custom offering available for enterprises. 

Metas 3000 3dglasses Look To An Augmentedreality Future Metaglasses



Pro Pro3D Cloud  Enterprise
Geo Geo Geo Geo
2D Image Recognition 2D Image Recognition 2D Image Recognition 2D Image Recognition
3D Image Recognition 3D Image Recognition 3D Image Recognition
Cloud Recognition Cloud Recognition
Multiple apps
€2490 / yr. per app €2990 / yr. per app €4490 / yr. per app Call


AR ToolKit

ARToolKit is an open-source computer tracking library for creation of strong augmented reality applications that overlay virtual imagery on the real world. Currently, it is maintained as an open-source project hosted on GitHub.[1] ARToolKit is a very widely used AR tracking library with over 160,000 downloads on its last public release in 2004.[2]

In order to create strong augmented reality, it uses video tracking capabilities that calculate the real camera position and orientation relative to square physical markers or natural feature markers in real time. Once the real camera position is known a virtual camera can be positioned at the same point and 3D computer graphics models drawn exactly overlaid on the real marker. So ARToolKit solves two of the key problems in Augmented Reality; viewpoint tracking and virtual object interaction.

ARToolKit was originally developed by Hirokazu Kato of Nara Institute of Science and Technology in 1999[3] and was released by the University of Washington HIT Lab. In 2001 ARToolWorks was incorporated, and v1.0 of the open-source version of ARToolKit was released through the HIT Lab. ARToolKit was one of the first AR SDKs for mobile, seen running first on Symbian in 2005,[4] then iOS with the iPhone 3G in 2008,[5] and finally Android as early as 2010[6] with a professional version by ARToolWorks later in 2011.

ARToolKit was acquired by DAQRI and re-released open-source starting at version 5.2 on May 13, 2015,including all of the features that were previously only available in the professional licensed version. Among these features are mobile support and natural feature tracking.


Key Features

transparent, modular code delivered through open source
Complete access to the computer vision algorithm allows you to modify the source code to fit your specific application. Freely distributed for use under a LGPL v3.0license.

major platform support enables a wide range of applications
Compiled SDKs for iOS, Android, Linux, Windows and Mac OS X all ready to download and use.

mobile focus eases the development process
Includes OpenGL ES2.x support, integration with GPS and compass, and automatic camera calibration utilities.

develop for smart glasses and beyond
ARToolKit includes stereo and optical see-through support, is integrated with a range of smart glasses, and allows easy calibration for new devices.






Kudan is a professional technology lab researching / engineering Computer Vision algorithms, established by a serial entrepreneur Tomo Ohno in 2011. The team has been hand-picked due to their specific capabilities within the Computer Vision arena. Headquartered in Tokyo, Kudan has technology centre in Bristol, UK, with sales and support covering the global market.

Kudan partners with semiconductor companies and OEMs worldwide to create next generation embedded vision for all the autonomous and interactive IT solutions, such as AR/VR, autonomous car, robotics, and drone. To date, Kudan’s Computer Vision technologies has been delivered to 20k+ licensees for wide rage of diverse and markets.


Vision – Realise True “Vision” for Computer 

Computer’s “eye”, camera, has been way better than human’s eye for so many years. However, computer’s “vision”, computer vision algorithms, is still primitive and far from the level of human’s, due to the fundamental of the algorithms.

In order to accelerate the evolution of applied technologies of Computer Vision, Kudan focuses on developing fundamental modular algorithms, and designing versatile architecture enabling optimisation and acceleration on processing architectures, to be the fundamental IP in the industry. Through all camera equipped devices, Kudan’s technology will realise true “vision” for computer, to support all the autonomous and interactive IT solutions.



Development  Production License Volume License
2D / 3D Recognition 2D / 3D Recognition 2D / 3D Recognition
Free £1,000 yr. per app Call



MAXST AR SDK is an easily operated all-in-one solution with 5 key functions.

  • Image Tracker
  • Instant Tracker
  • Visual SLAM
  • Object Tracker (3D Space Tracker)
  • QR/Barcode Scanner

MAXST AR SDK provides optimal development environment for augmented reality apps.

  • Fast and robust recognition/tracking performance
  • Multi platform supported : Android, iOS, Mac OS, Windows
  • Easy to implement various visual effects
  • Smart glasses supported : Epson Moverio BT-200, 300 and ODG R-7
Ultrahaptics Touch Virtual Objects In Mid Air


Key Functions

Image Tracker

Even in various challenging conditions such as fast camera movement, partial covering of the image target and zoom-in-out, the digital overlay stays in place robustly without jittering. Extended tracking and Multi-target tracking are supported. You can track the target as far as the camera can see it and can also track up to 3 images at the same time. Build your immersive AR experience using various kinds of items such as 3D models, 3D animations and videos including transparent ones.

Instant Tracker

This plane-seeking engine instantly finds out a horizontal plane in the scene presented by the camera and enables you to track and place digital objects in relation to the plane. You can empower your app to augment any random space without any pre-prepared targets or maps. The powerful algorithm based on VIO(Visual Inertial Odometry) works well in featureless plane and continuously keeps track of the camera move and thus helps digital overlays stay in place even when they are out of the camera view.

Visual SLAM

MAXST Visual SLAM is optimized for mobile uses and works great on most devices with just a single RGB camera. You can map and track the surroundings at the same time. And the map is automatically extended beyond the first view along with the move of the camera. You can save maps for later uses. Try a more exquisite AR project with MAXST Visual SLAM.

Object Tracker

With Object Tracker you can load up map files created and saved with Visual SLAM and render 3D objects wherever you like on it to create more immersive AR experiences.

QR/Barcode Scanner

Empower your app to read QR code and barcode. An open-source library, zxing-cpp is used.


Key Features 

Quick and Powerful Performance

The algorithm is optimized for mobile uses to ensure fast and robust recognition/tracking performance. The SIMD parallel processing method helps to accelerate operations and to lower the memory footprint so that the engine can work well even on low-end devices with less resources.

All-in-one Solution

MAXST AR SDK combines 5 AR capabilities. Choose one that best fits your AR project and bring your AR imagination to life.

Multi-platform Support

A wide array of platforms including Android, iOS, Mac OS and Windows are supported. You can choose Unity plug-in formats, too.

Easy to Implement Various Visual Effects

You can bring in static 3D models, 3D animations, and videos as well as 2D images to lay on image targets. The occlusion empowers you to design more immersive and realistic AR experiences.

Camera Interface Control

If you want to implement augmented reality functions in apps using the camera, you can still use your camera interface without any additional modification of the codes. (Enterprise License Only)

Smart Glasses Support

MAXST AR SDK supports the calibration tool for various wearable smart glasses such as Epson Moverio, ODG etc. The calibration process allows every user to get his own personalized profile and to fine-tune the displays to have more immersive AR experiences.


Case study: The Genesis Virtual Guide

Genesis Virtual Guide is a modern take on the traditional owner’s manual, providing convenient, simple ways to become familiar with full vehicle capabilities. Virtual Guide uses advanced augmented reality to display key information about various components and features of the luxury sedan. Among the various functions, it’s the engine room part where MAXST AR SDK proves its real worth. If a user opens the Genesis Virtual Guide and holds the smartphone over the engine bay, the app brings up a digital overlay that provides how-to information on maintenance for each crucial part. MAXST AR SDK’s Visual SLAM and Object Tracker were used in scanning and mapping the 3-dimensional structure of the engine bay and putting the digital overlays right in place in exact alignment with real engine parts.




Pricing  Maxst 2D:

Free Pro
200 Target Image 200 Target Image
Image Recognition Image Recognition
Augmenting Video Augmenting Video
Watermark No watermark
Free $999 single-user license

Pricing Maxst 3D

Free Starter Pro Enterprise Enterprise+
10 Targets 500 Targets 2000 Targets Unlimited Unlimited
1 Application license Unlimited Application licenses Unlimited Application licenses Unlimited Application licenses Unlimited Application licenses
Watermark No Watermark No Watermark No Watermark No Watermark
Free $50 / mo. $150 / mo. $400 / mo. $6500 single-user license



XZIMG provides customizable HTML5, desktop, mobile and cloud solutions with the objective of extracting intelligence from images and videos.

Father Io First Real Life Massive Multiplayer Fps

XZIMG is made by 3 modules:

  • XZIMG Augmented Face solution to recognise and track faces with Unity
  • XZIMG Augmented Vision solution to recognise and track planar images with Unity
  • XZIMG Magic Face solution ideal for face replacement and make-up applications

XZIMG Augmented Face

XZIMG provides a high quality face tracking technology which is robust, real-time and multi-platforms. Augmented Face is ideal to create efficient AR based applications.

Augmented Face generated experiences can be deployed on PC (Windows), Mobiles and HTML5 compliant browser through a user friendly Unity plugin system.

Trial version – Free

  • Ideal for try-live applications
  • Create non-commercial experiences with Unity5
  • Deploy for HTML5 (Unity WebGL)
  • Deploy for Windows (7 or newer)
  • Deploy for iOS (3GS or newer) and Android (4.1 Jelly Bean or newer)
  • Deploy for Flash with FlashDevelop
  • Easy to integrate using our sample
  • Access to FAQ and documentations

Professional version – 19,000 HK$ (~2200€)

  • Ideal for try-live /gaming commercial applications
  • Create unlimited commercial experiences with Unity5
  • Get a full year support and updates
  • Deploy for Windows (7 or newer)
  • Deploy for HTML5 (Unity WebGL)
  • Deploy for iOS (3GS or newer) and Android (4.1 Jelly Bean or newer)
  • Deploy for Flash with FlashDevelop
  • Easy to integrate using our sample
  • Access to FAQs and documentations


XZIMG Augmented Vision

XZIMG provides a high quality fiducial markers and images tracking technology which is robust, real-time and multi-platform. Augmented Vision generated experiences can be deployed on PC (Windows), Mobiles and HTML5 compliant browser through a user friendly Unity plugin system.

Trial version – Free

  • Ideal for stable and fast Augmented Reality applications
  • Create non-commercial experiences with Unity5
  • Deploy for HTML5 (Unity WebGL)
  • Deploy for Windows (7 or newer)
  • Deploy for iOS (3GS or newer) and Android (4.1 Jelly Bean or newer)
  • Easy to integrate using our sample
  • Access to FAQs and documentations

Professional version – 14,000 HK$ (~1600€)

  • Ideal for stable and fast Augmented Reality commercial applications
  • Create unlimited commercial experiences with Unity5
  • Get a full year support and updates
  • Deploy for Windows (7 or newer)
  • Deploy for HTML5 (Unity WebGL)
  • Deploy for iOS (3GS or newer) and Android (4.1 Jelly Bean or newer)
  • Easy to integrate using our sample
  • Access to FAQs and documentations

XZIMG Magic Face

XZIMG provides high quality deformable face tracking technology which is robust, real-time and multi-platform. The solution is ideal for face replacement and make-up based applications.

Magic Face experiences can be deployed on Desktop (Windows), Mobiles and HTML5 compliant browsers through a user friendly Unity plugin or native samples.

Trial version – Free

  • Ideal for face replacement and make-up based applications
  • Create non-commercial experiences Unity5 or using native rendering
  • Deploy for iOS (3GS or newer) and Android (4.1 Jelly Bean or newer)
  • Deploy for Windows (7 or newer)
  • Easy to integrate using our sample
  • Prepare your App before purchasing
  • Access to FAQ and documentations

Professional version – 95,000 HK$

  • Ideal for face replacement and make-up based applications
  • Create unlimited commercial experiences with Unity5 or native rendering
  • Deploy for iOS (3GS or newer) and Android (4.1 Jelly Bean or newer)
  • Deploy for Windows (7 or newer)
  • Easy to integrate using our sample
  • Native samples with OpenGLES
  • Access to FAQ and documentations



NyARToolkit project is developing a vision-based Augmented reality library that based on ARToolKit.
Major products are ARToolKit compatible library that run on managed environment, such as Java / C #. In addition, the development environments of Unity or Processing package are published.

Current NyARToolkit libraries has the ARToolKit Professional(ARToolKit5) APIs.
Those softwares are be available at LGPLv3 . Some utilities are be available at the MIT license.


SDK Feature Comparison

  Vuforia EasyAR Wikitude ARToolKit Kudan MaxST Xzimg NyARToolKit
Maximum distance capturing / holding marker (m) 1.2 / 3.7 0.9 / 2.7 0.8 / 3 3 / 3 0.8 / 3 0.5 / 0.9 0.7 / 5 0.7 / 1
Recognition stability of immovable marker 10 7 6 8 10 7 8 5
Recognition stability of movable marker 6 3 4 6 6 2 7 3
Minimum angle recognition 30 35 40 10 30 50 35 45
Minimum visibility for recognition overlapped marker 20% 10% 30% 100% 25% 50% 10% 75%
2D Recognition ✓  (bordered)
3D Recognition ✓ (beta)
Cloud Recognition
 Total (rating)
7.1 4.4 7.5 2.8 6.9 5.2 4.7 3.1



Raffaele Schiavullo
the authorRaffaele Schiavullo
ADMINISTRATOR - Senior 3D/Virtual Reality Specialist and Automotive HMI developer - Working in London and "insanely" passionate about technology and its creative applications


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