Why should Android developers start building AR apps before 2024?
By Yuri H
The phrase “augmented reality” or AR has long been on everyone’s lips and is used in many areas of life. AR is being actively implemented in mobile applications as well. A large part of the AR market is occupied by entertainment applications. Remember the PokemonGo fever of 2016? However, entertainment is not the only area with AR. Tourism, medicine, education, healthcare, retail, and other areas also actively use AR. According to studies, by the end of 2020, there were almost 600 million active users of mobile apps with AR. By 2024, a nearly three-fold growth (1.7 billion) is predicted, and the amount of revenue from such applications is estimated at $ 26 billion. The future is very close!
That’s why in this article we’ll consider several popular tools for Android mobile app development with AR functionality, their pros and cons.
History of AR
It’s been quite a long time since the advent of AR technology and its implementation in smartphones. It was originally part of VR. In 1961, Philco Corporation (USA) developed the first Headsight virtual reality helmets. Like most inventions, they were first used for the needs of the Department of Defense. Then the technology evolved: there were various simulators, virtual helmets, and even goggles with gloves. Their distribution was not widespread, but these technologies interested NASA and the CIA. In 1990, Tom Codell coined the term “Augmented reality”. We can say that from that moment on, AR became separate from VR. In the ’90s, there were many interesting inventions: an exoskeleton, which allowed the military to virtually control cars, gaming platforms. In 1993, Sega developed the Genesis game console. However, this product did not become mass-market: users were recorded nausea and headaches during games. The high cost of devices, scarce technical equipment, and side effects forced people to forget about VR and AR technologies in the mass segment for a while. In 1994, AR made its way into the arts for the first time with a theater production called Dancing in Cyberspace. In it, acrobats danced in virtual space.
In 2000, in the popular game Quake, thanks to the virtual reality helmet, it became possible to chase monsters in the street. This may have inspired the future creators of the game Pokemon Go. Until the 2010s, attempts to bring AR to the masses were not very successful.
In the 2010s, quite successful projects appeared: MARTA (an application from Volkswagen that gives step-by-step recommendations on car repair and maintenance) and Google Glass glasses. At the same time, the introduction of AR in mobile applications begins: Pokemon Go, IKEA Place, the integration of AR in various Google applications (Translate, Maps, etc.), the introduction of filters in Instagram, etc. Currently, there are more and more mobile applications with AR and their use is spreading not only in the field of entertainment.
What is AR and how it works on a smartphone
Essentially, AR is based on computer vision technology. It all starts with a device that has a camera on it. The camera scans an image of the real world. That’s why when you run most AR apps, you’re first asked to move the camera around in space for a while. Then the pre-installed AR engine analyzes this information and builds a virtual world based on it, in which it places an AR object or several objects (picture, 3D model, text, video) on the background of the original image. AR objects can be pre-stored in the phone memory or can be downloaded from the Internet in real-time. The application remembers the location of the objects, so the position of the objects does not change when the smartphone moves unless it is specifically provided by the application functionality. Objects are fixed in space with special markers — identifiers. There are 3 main methods for AR technology to work:
- Natural markers. A virtual grid is superimposed on the surrounding world. On this grid, the AR engine identifies anchor points, which determine the exact location to which the virtual object will be attached in the future. Benefit: Real-world objects serve as natural markers. No need to create markers programmatically.
- Artificial markers. The appearance of the AR object is tied to some specific marker created artificially, such as the place where the QR code was scanned. This technology works more reliably than with natural markers.
- Spatial technology. In this case, the position of the AR object is attached to certain geographical coordinates. GPS/GLONASS, gyroscope, and compass data embedded in the smartphone are used.
Tools for AR in Android
Find comprehensive info about AR tools in the spreadsheet.
The first thing that comes to mind is Google’s ARCore. ARCore isn’t an SDK, but a platform for working with AR. So you have to additionally implement the graphical elements that the user interacts with. This means that we can’t do everything with ARCore alone, and we need to implement technologies to work with graphics.
There are several solutions for this.
If you want to use Kotlin:
- Until recently, you could use Google’s dedicated Sceneform SDK. But in 2020, Google moved Sceneform to the archive and withdrew further support for it. Currently, the Sceneform repository is maintained by enthusiasts and is available here. It must be said that the repository is updated quite frequently. However, there is still a risk of using technology that is not supported by Google.
- Integrate OpenGL into the project. OpenGL is a library written in C++ specifically to work with graphical objects. Android provides an SDK to work with OpenGL to run on Kotlin and Java. This option is suitable if your developers know how to work with OpenGL or can figure it out quickly (which is a non-trivial task).
If you want to use something that isn’t Kotlin:
- Android NDK. If your developers know C++, they can use the Android NDK for development. However, they will also need to deal with graphics there. The OpenGL library already mentioned will be suitable for this task.
- Unreal Engine. There is nothing better for dealing with graphics than game engines. Unfortunately, ARCore is no longer supported by the Unity SDK, but Unreal Engine developers can still develop applications.
Vuforia is developed by PTC. Another popular tool for developing AR applications is Vuforia. Vuforia can work with normal 2D and 3D objects as well as video and audio, unlike ARCore. You can create virtual buttons, change the background, and control occlusion. It’s a state where one object is slightly hidden by another.
Fun fact: using Vuforia, a developer can turn on ARCore under the hood. Furthermore, the official Vuforia documentation recommends that you do this. That is, while running the application, Vuforia will check to see if it is possible to use ARCore on the device and if so, it will do so.
Unfortunately, bad news again for Kotlin fans. Vuforia can only be used in C or Unity. Also, the downside is that if you plan to publish your application for commercial purposes, you will have to buy a paid version of Vuforia (Vuforia prices).
It works with Android 6 and up, and there is a list of recommended devices.
ARToolKit is a completely free open-source library for working with AR. Its features are:
- support for Unity3D and OpenSceneGraph graphics libraries
- support for single and dual cameras simultaneously
- GPS support
- ability to create real-time applications
- integration with smart glasses
- multi-language support
- automatic camera calibration
This library is completely free. However, the documentation leaves a lot to be desired. The official website does not respond to clicks on menu items. Apparently, ARToolKit supports Android development on Unity. Using this library is quite risky.
A popular solution from Korea. It has very detailed documentation. There is an SDK to work with 2D and 3D objects. Available in Java and Unity. In Java, you need to additionally implement the work with graphics. The official website states that the SDK works on Android from version 4.3, which is a huge plus for those who want to cover the maximum number of devices. The documentation is quite detailed. However, this SDK is payable if you plan to publish the app. The prices are here.
Development by an Austrian company that was recently taken over by Qualcomm. Allows you to recognize and track 2D and 3D objects, images, scenes and work with geodata, there is integration with smart glasses. There is a Java SDK (you need to additionally implement the work with graphics), as well as Unity and Flutter. This solution is paid, but you can try the free version for 45 days.
Now there is a choice of frameworks to develop AR applications for Android. Of course, there are many more, but I have tried to collect the most popular ones. To make it easier to compare the solutions listed above, I presented their brief characteristics in the table below. Or here it is in Google Sheets. I hope this will help you with your choice. May Android be with you.
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