Mobile VR Showroom Development: 3D Optimization & Gaze Navigation

TRUETECH is engaged in the development, support and maintenance of iOS, Android, PWA mobile applications. We have extensive experience and expertise in publishing mobile applications in popular markets like Google Play, App Store, Amazon, AppGallery and others.

Development and support of all types of mobile applications:

Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

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Mobile VR Showroom Development: 3D Optimization & Gaze Navigation
Complex
from 2 weeks to 3 months
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A client comes with a catalog of 2000+ furniture items and asks for a VR showroom. 3D models weigh 50 MB each, with 15 objects per scene — the app crashes on an iPhone X. A typical pain: mobile VR with Cardboard, 3DoF, no controllers, and users get motion sick from smooth movement. We approached the solution through retopology, async zone loading, and gaze teleportation. As a result, zone load time dropped by 40%, and conversion to detail views increased by 25%. This case became the foundation of our pipeline, which adapts to any SKU. We abandoned the idea of "making it beautiful" and focused on concrete metrics: scene load time, frame rate, batch count. Every optimization is verified by profiling on real devices. Below are the technical details of how we achieved stable performance under Cardboard and Google VR.

How do we build the VR showroom architecture?

The space is divided into independent zones, each a separate Unity Scene. Transitions between zones happen via gaze teleportation. This reduces motion sickness by 3 times compared to smooth movement. Scene structure:

Showroom
├── EntryZone (lobby with categories)
├── Zone_Furniture (furniture hall)
│   ├── ProductPedestal_001 (sofa)
│   ├── ProductPedestal_002 (table)
│   └── NavigationPortal → Zone_Lighting
├── Zone_Lighting (lighting hall)
└── Zone_Outdoor (outdoor exposition)

Each zone loads via Addressables on teleportation. This way content is not constantly held in memory but loaded on demand. Addressables provides 4x faster loading compared to AssetBundles, and reduces storage and bandwidth costs by 25%. For a catalog with frequent model updates, it also enables seamless updates — just re-release the Addressables group on a CDN.

3D Model Optimization

Original CAD models often contain millions of polygons. Our optimization pipeline includes retopology, normal baking, PBR texture preparation, and conversion.

Step Tool Target Result
Retopology ZBrush, Blender 5,000–20,000 polygons
Normal baking Substance Painter Details from high-poly into normal map
PBR textures Substance Designer 1K–2K Albedo/Normal/Roughness/Metallic
Conversion Unity Addressables iOS: USDZ, Android: glTF + KTX2

KTX2 with Basis Universal is mandatory for Android — it provides GPU-independent decoding and lossless compression. For iOS we use standard textures with mipmaps.

Texture Format Comparison

Format Platform Compression Quality Size (1K)
KTX2 + Basis Android Universal High ~1.5 MB
ETC2 Android Block-based Medium ~1.3 MB
ASTC Android Hardware High ~1 MB
PNG iOS Uncompressed Original ~5 MB

KTX2 offers the best balance between size and quality across all GPUs. For iOS we use ASTC if the device supports it — built-in Metal compression.

Lighting: Realistic look without ray tracing

On mobile devices ray tracing is unavailable — realism is achieved through precomputed lighting. According to Apple Human Interface Guidelines for VR, this approach ensures smooth interaction.

Baked lightmap

Static shadows and GI are calculated in the Editor and stored in a texture. For a showroom with fixed geometry, this is optimal. Unity's Progressive Lightmapper gives good results. Mobile settings: Lightmap Resolution 20–40 texels/unit, Compress Lightmaps enabled.

Reflection Probes

Baked cubemaps for reflections on metal and glossy surfaces. We place one per zone plus additional ones near glossy objects.

Emissive Materials

Lights as geometry with emissive shader, baked into the lightmap. Real-time lights are used only for effects (e.g., sign flicker) and limited to one per scene.

// Unity: dynamic Reflection Probe update on zone change
void OnZoneEnter(ReflectionProbe probe) {
    probe.RenderProbe(); // update on teleportation, not at runtime
}

Product interaction and catalog integration

At the inspection point, users can:

  • Rotate the model with gaze — user looks at arrow controls, dwell activation rotates the model.
public class ProductRotator : MonoBehaviour {
    [SerializeField] private Transform productRoot;
    private float currentRotation = 0f;

    public void RotateLeft()  => StartCoroutine(SmoothRotate(-45f));
    public void RotateRight() => StartCoroutine(SmoothRotate(+45f));

    IEnumerator SmoothRotate(float delta) {
        float target = currentRotation + delta;
        float elapsed = 0f;
        float duration = 0.4f;
        while (elapsed < duration) {
            productRoot.rotation = Quaternion.Euler(
                0, Mathf.LerpAngle(currentRotation, target, elapsed / duration), 0);
            elapsed += Time.deltaTime;
            yield return null;
        }
        currentRotation = target;
    }
}
  • Color variants — switch between materials of the same model via gaze buttons with color swatches.
  • Info hotspots — points on the model with feature descriptions: "premium leather", "quick assembly system". They open in world space panels on gaze activation.

An AR mode is also available for viewing products in real space.

A showroom without connection to the catalog is a demo, not a product. Content loads dynamically:

  • Product metadata (name, description, price, variants) — from REST API.
  • 3D models — from Addressables CDN by product_id.
  • Availability and price — real-time from the catalog.

When the collection changes, no app re-release is needed: Addressables groups update via Content Delivery.

Why gaze navigation is the best choice for mobile VR?

In mobile VR, there are no controllers, so interaction relies on gaze. Gaze navigation is simple and intuitive: the user looks at a destination, holds gaze for 1–2 seconds, and teleports. This eliminates motion sickness and requires no training. Alternatives like joystick or on-screen buttons are distracting and less ergonomic for 3DoF. Gaze navigation is the best choice for mobile VR due to its naturalness and 3x reduction in motion sickness.

For dwell activation, we use a timer of 1.2–1.8 seconds with visual indication. When using a spherical collider for the teleport zone, it's important to set the correct angle: 15° from the gaze direction. This prevents accidental triggers.

How to ensure stable 60 FPS on mobile VR devices?

Target devices: iPhone 12 and Android with Snapdragon 865. Main profiling tools: Unity Profiler, Xcode GPU Frame Capture, Android GPU Inspector. Typical optimizations:

  • GPU Instancing for repeated elements (e.g., chairs in a hall).
  • Occlusion Culling — objects behind walls are not rendered.
  • LOD with three levels: low poly >20 meters, medium >10 meters, high up to 5 meters.
  • Reduce shadow quality to 512×512 or disable for distant objects.

As a result we achieve stable 60 FPS even in zones with 50+ models. If performance drops to 30 FPS on older devices, we automatically reduce texture quality to 1K and disable real-time shadows.

Work process and timelines

  1. Catalog audit: number of SKUs, 3D model formats, content update requirements.
  2. Space design: zoning, navigation, inspection points.
  3. 3D model and texture optimization pipeline.
  4. Development: scenes, lighting, product interaction, Cardboard VR mode.
  5. Integration with catalog and cart.
  6. Performance optimization, testing on target devices.

What's included in the work

  • Documentation: user flow, technical specifications, content update guide.
  • Access: source repository, Addressables CDN keys, Developer accounts (App Store / Google Play).
  • Training: video recording of catalog update, testing, and deployment processes.
  • Support: one-month warranty, SLA 8/5 for critical bugs.

Timeline estimates

Showroom with one zone and 10–20 products: 3–5 weeks. Multi-zone platform with dynamic catalog and cart: 2–4 months. Cost is calculated individually based on content volume and integration complexity.

Our team has 5+ years of mobile VR development experience and has completed 20+ projects across various industries. Get a consultation on your project or order a virtual showroom development — we'll help you choose the best solution. Contact us to discuss your project.

We develop AR applications on ARKit and ARCore that work stably even in challenging conditions. Our experience: 7+ years in mobile development and 30+ delivered AR projects. Guaranteed: tracking won't be lost, lighting will be realistic, and the user won't feel discomfort. Certified Apple and Google developers.

Why does tracking get lost and how to fix it?

ARKit and ARCore use VIO (Visual-Inertial Odometry) — a combined processing of camera data and IMU. Tracking fails in three scenarios: illumination below ~50 lux, texture-homogeneous surfaces (white wall, glass), and fast camera movements.

In practice, if the product is intended for furniture try-on, we add an explicit UI warning when ARCamera.TrackingState.limited(.insufficientFeatures). An app that silently loses tracking gets 2-star reviews — we don't allow that.

Plane detection is configured via ARWorldTrackingConfiguration.planeDetection = [.horizontal, .vertical]. Important: ARKit continues to refine plane geometry through ARSCNViewDelegate.renderer(_:didUpdate:for:) — if you don't handle updates, the object starts floating when the anchor is refined. Our team solves this at the architecture stage, not during testing.

AR Foundation: cross-platform with nuances

Unity AR Foundation is an abstraction layer over ARKit and ARCore. It reduces development time by 40% compared to separate native codebases. But some features (e.g., ARBodyTrackingConfiguration for body tracking) are unavailable and require a native plugin.

For React Native and Flutter, direct AR Foundation is missing. We use ViroReact (React Native) or ar_flutter_plugin for simple scenarios, but for production quality — native modules with a bridge. Hybrid approach: AR scene rendered in native ARKit/ARCore view, control from JS/Dart via method channel. Included in our standard delivery.

Task iOS Android Cross-Platform
Plane detection ARKit ARCore AR Foundation, Unity
Face tracking ARKit (TrueDepth) ARCore Augmented Faces Banuba, Snap Camera Kit
Image tracking ARKit (Vision) ARCore Augmented Images AR Foundation
Object detection ARKit 3D Object Scanning ARCore no unified SDK
Persistence (saving anchors) ARKit World Map ARCore Cloud Anchors

Platform comparison: ARKit outperforms ARCore in tracking stability and feature set (30% fewer failures in low-light scenarios), but ARCore is cheaper in device support. AR Foundation is a compromise: loses up to 20% performance on complex scenes but pays off with a single codebase.

Try-on: product fitting via AR

Fitting glasses, jewelry, cosmetics — a separate class of tasks. Here, face tracking is needed, not plane detection.

ARKit provides ARFaceTrackingConfiguration — 52 blend shape coefficients for expressions, 3D face mesh, position and orientation in space. Works only on devices with TrueDepth camera (iPhone with Face ID).

For Android, the equivalent is ML Kit Face Mesh Detection or Google ARCore Augmented Faces (Pixel and some flagships). For cross-platform try-on, we use Banuba Face AR SDK (Banuba Face AR SDK documentation) — covers both devices, provides ready-made masks and stable tracking even on mid-range Android.

Try-on quality critically depends on 3D product models. Models must be optimized for real-time: no more than 10-15K polygons for jewelry, PBR materials with correct roughness/metallic maps, LOD for long distances. Within our engagement, we provide ready-made optimization guides.

How to achieve realistic lighting in AR?

ARKit with modern iOS versions supports Environmental Texturing — automatic creation of an environment map from the camera for realistic reflections. Enabled via ARWorldTrackingConfiguration.environmentTexturing = .automatic. Without it, metallic and glass materials look plastic.

ARCore provides Light Estimation — intensity and color temperature of ambient light, applied to the shader of virtual objects. In practice, it's the difference between an object that blends into the scene and an obviously overlaid 3D model. We guarantee that the final image doesn't betray virtuality.

What's included

  • AR solution architecture (stack choice, module design)
  • 3D pipeline: model optimization for real-time, PBR materials, LOD
  • Tracking integration (planes, faces, images, objects)
  • Testing on 10+ real devices (iOS and Android)
  • Documentation for SDK usage and ready components
  • Post-launch support (1 month bug fixing)

Timeline and estimation

Simple AR scene with placing one 3D model on a plane — 1-2 weeks. Face try-on with product catalog — from 6 weeks (3D pipeline, tracking integration, selection and saving UI). Full AR shopping with cloud anchors and multiplayer — from 3 months. We'll estimate your project in 1 day — contact us to discuss your AR idea.