We all know that every Development process has an acknowledged procedure to be followed from start to end. AR App Development is also supposed to have a set of cheat codes and popular tools to help us hit the cords right. Many top AR app development companies have joined the bandwagon to be the best from the rest. After exploring the technology well and one after another successful completion of AR projects, our top AR app developers have sorted the best 5 tools to consider while developing AR apps. For all our Augmented reality fans, in this blog post, we have reviewed some of the best SDKs to chose for AR app development.
Let’s take an overview of the selected Augmented Reality frameworks for better labour and time optimisation:
Vuforia SDK is a complete software development for AR app development. It lets real object to be scanned for recognition as well detection of several kinds of targets like images, English text, objects. The platforms Vuforia can support include Android, iOS, and Unity. It supports 2D and 3D recognition, virtual buttons, Extended Tracking, target tracking, mapping additional elements through OpenGL. It also supports extended tracking which is a capability that provides continual experience, even when the target leaves the view. Especially for image recognition purposes, Vuforia allows apps to use databases that are either local on the device or in the Cloud. Also, using Vuforia Object Scanner, you can scan and create object targets.
Smart TerrainTM is another feature of interest which can construct a terrain in real time, thereby creating a three-dimensional geometric map of the environment. There is also a version of the SDK for smart glasses (namely Epson Moverio BT-200, Samsung GearVR, and ODG R-6 and R-7) that is currently moving to its beta phase and is open for early access applications from qualified developers.
According to reviews and comparisons of efficiency, Kudan is the main rival of Vuforia and it make augmented reality development very easy. Based on SLAM technology, Kudan allows to recognize the simple images and 3D objects and provides easy generation of the database in the Unity Editor. Its functionality also consists of image recognition. It supports the Android and iOS platforms. There are some disadvantages like Crash Editor where sometimes apps crashes on the go and there are also the difficulties with the test license key installation.
Kundan is faster than other frameworks, and it contends with Vuforia. Its library assists mobile AR apps when it comes to mapping out multi-polygonal models in reality and also to import three-dimensional models from of the software packages for modelling. And in addition to this, the number of recognized images has no specific limit, and it does not require much memory to store the files in the system.
Wikitude can be used as a module for Titanium, and as a plugin for PhoneGap. It can also be used as a component for Xamarin. It supports Unity programming language, and the software development kit includes SLAM (markerless tracking). It supports scanning of real objects for recognition, 2D and 3D recognition, 3D model rendering, HTML augmentation, and location tracking.
Wikitude is used by top AR app development companies to recreate places in the list or at the virtual map. They can use it do it a search of events, wiki articles, and tweets. They can also use it to get recommendations from other users. Wikitude-based apps allow users to receive coupons, play AR games, and also to receive information about recent specials.
There is a free trial version of Wikitude for developers. However, using the complete version comes with a price. There will be payments involved. And the documentation is detailed and well structured.
With LayAR, you can watch the terrain via the layers that map on the mobile device screen. LayAR supports image recognition as well as mapping extra elements on the base of user recognized images and location. The benefits of LayAR is that the LayAR documentation is well structured and very detailed even though the manual for the framework is available only online.
Every framework layer can include the data about the location of specific areas or social network users. The functionality considerably allows expanding the abilities of a printed product. For instance, using a LayAR-based app, you can listen to a song that you heard of in a magazine or make an order in printed catalog. The major work takes place on a server using JSON, which includes the logic of mapping additional elements in recognition, and for this very reason, LayAR is not flexible.
ARToolKit is a composition of software tools that top AR app development companies rely on to develop AR apps. ARToolKit supports different platforms like iOS, Android, SGI, Windows, Linux, Mac OS X. these operating systems have their different development environments. And development environments on these platforms are free. One of its major advantages is that it is an open-source code. This means that developers have free access to the library.
The library for ARToolKit allows tracking that is known in other advanced object markers via mobile device cameras and recreating their location on a device screen. Taking the advantage of this feature, the app developer can then create an AR UI sing the received data. Regardless of the fact that developers have free access to the library, the documentation is limited.
To Sum Up
The described augmented reality libraries have an extensive range of opportunities for augmented reality app development. They support different platforms and possess different sets of tools for recognizing objects and tracking them. However, when it comes to choosing the right framework to work with, a developer needs to understand what he gets when a particular choice is made. Some of these tools are free, and all they have to do is to go online and download the software program. Some of the other programs aren’t free. You might have to sign a contract and pay for access to additional features with higher quality. When you are choosing one of the currently existing AR tools to use, take into consideration the requirements of your project task, what kinds of result you hope to achieve, and match it with the abilities of the AR libraries at your disposal.
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