The development of applications with augmented reality has ceased to be the preserve of narrow specialists and has become accessible to a wide range of developers. Creating an AR product on the platform Android opens access to billions of users around the world who have compatible smartphones. This process requires an understanding of not only programming, but also the principles of computer vision.
In this article we will analyze the entire production cycle: from choosing tools to the final assembly of an APK file. You'll become familiar with key technologies such as ARCore from Google and understand how to integrate 3D objects into the real world through the device's camera. This is an exciting path that combines creativity and complex technical tasks.
Willingness to learn new frameworks is the first condition for success. The modern market dictates high demands on tracking performance and stability. Let's take a closer look at what steps you need to take to turn an idea into a working software product.
Choosing a technology stack and tools
The first step is to determine the platform on which your application will be based. Today, there are two main ways: native development using Java or Kotlin using the ARCore SDK, or using cross-platform game engines. The choice depends on the complexity of the project and the qualifications of the team.
Use of game engines such as Unity or Unreal Engine, significantly speeds up the process of creating content. These tools provide ready-made plugins for working with camera, lighting and physics. For most commercial projects, the choice falls on Unity due to its extensive asset base and community.
⚠️ Attention: Before starting development, be sure to check the list of supported devices on the official Google portal. Not all smartphones with a camera are capable of running AR sessions due to the lack of necessary gyroscopes or processing power.
Native development gives maximum control over memory and performance, but requires writing a lot of code to render the scene. At the same time, engines abstract the developer from low-level tasks, allowing him to focus on the logic of user interaction with virtual objects.
Setting up the development environment and installing the SDK
The process of setting up the working environment begins with installing the latest version Android Studio. This is a standard integrated development environment required for code compilation and device emulation. Without a correctly configured SDK, further progress in creating an application is impossible.
To work with augmented reality, a special package is required ARCore SDK. You can enable it via a package manager or manually add dependencies to the project configuration file. It is important to monitor library versions, as older versions may not support new tracking functions.
☑️ Preparing the environment
If you work in Unity, the process is simplified thanks to the presence of the official package ARCore Extensions. Its installation is done through the built-in Package Manager. After import, the necessary camera prefabs and session managers are automatically added to the project.
dependencies {implementation 'com.google.ar:core:1.39.0'
implementation 'com.google.ar.sceneform.ux:sceneform-ux:1.17.1'
}
File configuration AndroidManifest.xml also requires attention. You must explicitly request permission to use the camera and indicate that the app requires augmented reality features. This ensures that the app store will filter out incompatible devices upon installation.
AR app architecture and session lifecycle
Understanding how an AR session works is critical to the smooth operation of the app. The architecture is built around a frame update cycle, where the system constantly analyzes the video stream and sensor data. The developer must competently manage resources in this cycle.
The key component is ARSession, which coordinates the work of all subsystems. It is responsible for initializing the camera, tracking the device's position in space and building a map of the environment. Errors in session management lead to loss of tracking and "jitter" of objects.
| Component | Function | Impact on performance |
|---|---|---|
| Camera | Video stream capture | High (work with buffers) |
| Frame | Frame data processing | Medium (CPU calculations) |
| Anchor | Fixing objects in the world | Low (coordinate storage) |
| LightEstimate | Scene lighting estimation | Average (image analysis) |
The application lifecycle should take into account pauses and resumes. When the user minimizes the application or the screen goes dark, the session should be gracefully paused to save battery. Ignoring this rule leads to overheating of the smartphone and rapid discharge.
Why does tracking disappear?
Most often, tracking loss occurs due to a lack of textures in the camera's field of view. Plain walls or dark rooms do not provide the algorithms with enough points to reference coordinates. The solution is to ask the user to move the camera or add visual markers to the scene.
Working with planes and placing objects
One of the basic functions of AR is the detection of horizontal and vertical surfaces. Algorithms scan the space and create Point Cloud (a cloud of points), on the basis of which polygons of planes are constructed. This allows virtual objects to realistically stand on the floor or hang on the wall.
To place an object, you need to create an Anchor (anchor) at the point where the screen touches. An anchor anchors the virtual model to a real coordinate in space. If the device moves, the anchor maintains the position of the object relative to the world, not the camera.
- 🎯 Use
HitTestto determine the point where the camera beam intersects the detected planes. - 🧊 Check the surface normal to ensure objects are not placed on the ceiling or at an odd angle.
- 👁️ Implement a visual cue (reticle) showing the user exactly where the object will appear.
It is important to consider the physics of interaction. The mere appearance of a model can look unnatural. Adding animations for falling or emerging from a portal improves the user experience. It is also worth implementing a space occupancy check so that objects do not overlap each other.
To improve placement accuracy, add a rescan function. If the user does not move the phone for a long time, the quality of the map may deteriorate, and the suggestion to “walk around the object” will be useful.
Lighting and integration of 3D models
The realism of augmented reality depends on how well the virtual objects fit into the lighting of the real room. The technology Light Estimation analyzes the video stream and provides parameters of light intensity and color temperature. This data is passed to the rendering engine.
Importing 3D models requires optimization. Formats FBX or glTF are the most preferred for mobile platforms. High-poly models created for PC can cause FPS drop on mid-range smartphones, so it is necessary to use LOD (levels of detail).
⚠️ Attention: Textures must be compressed in ASTC or ETC2 format. Using uncompressed PNG or BMP textures will result in excessive RAM consumption and application crash on devices with 4 GB of RAM or less.
Material settings also play a role. The use of PBR (Physically Based Rendering) materials allows objects to correctly reflect light and have realistic shadows. Dynamic shadows from virtual objects on real surfaces significantly increase the effect of presence.
Don't forget about occlusion. This is a technology that allows real objects to overlap virtual ones. For example, if you place a virtual vase behind a real sofa, it should be partially hidden behind it. Implementing human occlusion (when a person walks in front of an object) requires more complex segmentation algorithms.
Testing, debugging and publication
The final stage of creating an application is thorough testing on real devices. Emulators only give a rough idea of how AR works, as they cannot fully simulate the user's hand movements and lighting changes. It is necessary to collect a pool of test smartphones of different price categories.
During the debugging process, use profiling tools, such as Android Profiler or built-in Unity tools. Monitor memory consumption, CPU load and device temperature. Overheating is a common problem in AR applications, leading to throttling and decreased frame rates.
Stability on budget devices is more important than maximum graphics on flagships. Optimization for a wide range of hardware will provide greater audience coverage on Google Play.
When preparing for publication in the Google Play Store, make sure you specify the requirement com.google.ar.core in the manifest. This will automatically filter out devices that do not support ARCore. Also prepare high-quality screenshots and videos demonstrating the operation of augmented reality in action.
Constantly updating content and fixing bugs is necessary to retain users. AR mechanics often require customization for specific use cases, which are revealed only after release. Collecting session analytics will help you understand where users lose interest or encounter errors.
What are the minimum requirements for a smartphone for development?
A device with ARCore support is required for development and testing. Usually these are smartphones with Android 7.0 and higher, equipped with a gyroscope and a high-quality camera. The list of compatible models is regularly updated by Google.
Is it possible to create an AR application without programming knowledge?
Partly yes. Engines like Unity allow the use of visual programming (Bolt/Visual Scripting). However, for complex interaction logic and optimization, basic knowledge of C# is still required.
How does tracking without markers work?
SLAM (Simultaneous Localization and Mapping) technology allows the device to build a map of the room in real time, tracking characteristic points on surfaces without using special QR codes or images.
Do you need the Internet to run an AR application?
Basic tracking and object placement work offline. However, loading heavy 3D models, Cloud Anchors and complex image recognition may require a constant network connection.