Whenever it is about creating augmented reality apps, developers make use of AR libraries along with open-source API to streamline the entire development process. Though the augmented reality is not a new trend, it is very important to understand that every individual AR framework is different from the other due to some specific features. Many more AR tools with some similar functions have been introduced now, making it a difficult task to choose the best one to go with.
Here’s providing you a sorted list of 5 AR tools that are most commonly used among app developers so that you won’t waste time crawling the web to find out the best from hundred of options.
1) ARLab SDKs
AR Browser SDK allows you to add and fling aside the POIs individually from the picture in real time, connect with them either through a touch or pointing the camera, and commanding actions on them through options like SMS or share on Facebook.
Image Matching SDK enables you to develop your very own native matching pool along thousand of images so that you can use it for matching any image without any internet connection. Moreover, it supports barcode and QR code recognition.
In addition to these SDKs, ARLab is going to launch Image Tracking, Object Tracking, and Virtual Button SDKs soon. All the SDKs are compatible with both iOS and Android.
2) Vuforia
Vuforia SDK is packed with the some exciting features including target tracking, multi-target detection, virtual buttons, extended tracking and Smart Terrain™.
This SDK fosters the detection of multiple sorts of targets including images, objects, English text etc. It also allows apps to utilise databases through a local source or cloud especially when it comes to serving purposes of image recognition.
This platform works well with iOS, Android and Unity. It also offers a separate version SDK for the smart glasses, which is presently traversing to its beta phase and is accessible for early applications designed by skilled developers.
3) DroidAR
An open-source framework, DroidAR allows adding the location-based AR functionality to the Android apps. It offers a bagful of wonderful features including gesture detection, marker detection and support for static as well as animated 3D objects with which users can interact, but is shaded by the weak documentation.
There is an individual section on the project ReadMe file on Github that provides an overview of the closed-source version of DroidAR and DroidAR 2 that seems to have some interesting reinforcements as compared to the open-source counterpart of the same.
4) Wikitude AR SDK
A pool of features to enjoy, Wikitude AR SDK allows image recognition and
tracking, video overlays, 3D version rendering and animation (only of Wikitude 3D format), location-based augmentations for text, button, tracking and image, video and HTML. This platform is compatible with Google Glass, Epson Moverio, Android, iOS, Vuzix M-100 and Optinvent ORA1. It serves as a module for Titanium, a plugin for PhoneGap, and a constituent for Xamarin.
5) Metaio SDK
Support for face, SLAM, 2D image, 3D object, QR code and barcode scanning, location tracking, constant visual search online as well as offline and gesture detection are some of the features that Metaio offers.
It has also designed its own language for AR scripting, AR Experience Language that allows developers to build the AR apps with the use of common web technologies like XML, JavaScript and HTML 5 and implement them everywhere. Through this SDK, you can develop AR apps for, iOS, Windows PC, Android, Epson Moverio BT-200, Google Glass, and Vuzix M-100 or through the use of Unity.
Hope this post will help you through the first step of your development process in a streamlined manner. Select the tool suiting your preferences and come up with a striking new AR app, setting new milestones afore others.
Author Bio.:- Arun is a Technical content writer at Hopinfirst, a leading mobile app development company which provide best ios app development and Android app development Services.
