ARFICT is an Augmented Reality (AR) mobile application designed to provide indoor navigation for the Faculty of Information and Communication Technology (FICT) at Universiti Tunku Abdul Rahman (UTAR).
It integrates AR path guidance, optimised route calculation, and QR code-based localisation to deliver an accurate and interactive navigation experience across multi-floor environments.

Watch the demo here: ARFICT Demo Video

• Multi-Floor Navigation – seamless movement between floors with a unified NavMesh.
• AR Path Guidance – overlay navigation lines or directional arrows in real-time.
• QR Code Localisation – maintain accurate positioning and reduce AR drift.
• Voice Navigation – real-time voice instructions like “Continue straight” or “Turn right.”
• Mini Map Interaction – swipe, zoom, and tap to select destinations.
• Navigation Modes – switch between Line Mode and Arrow Mode.
• Distance Display – real-time distance label updates as users move.
• Rerouting – automatically reroute users to the nearest destination of the same type.

Indoor navigation is often unreliable with GPS. ARFICT changes the game by combining Augmented Reality, A* algorithms, and QR code localisation to guide users in real-world indoor environments, providing an experience that is more intuitive, interactive, and accessible than conventional methods.

• Unity 2022.3.59f1 – main development platform

  • AI Navigation 1.1.5 – NavMesh components for runtime/edit-time
  • AR Foundation 5.1.6 – cross-platform AR support
  • Google ARCore XR Plugin 5.1.6 – ARCore integration for Android
  • TextMeshPro 3.0.7 – advanced text rendering
  • ProBuilder 5.2.4 – in-editor 3D modelling and level design
  • UI Rounded Corners 3.5.0 – rounded corner UI elements
  • Visual Studio Code Editor 1.2.5 – Unity <-> VS Code integration

• ZXing.Net (0.16.8) – QR code scanning and decoding

  • GitHub Repository

• Visual Studio Code (v1.103.2) – IDE for scripting

  • C# (2.87.31) – language support
  • C# Dev Kit (1.41.11) – solution explorer & testing tools
  • IntelliCode for C# Dev Kit (2.2.3) – AI-assisted suggestions
  • .NET Install Tool (2.3.7) – runtime & SDK management
  • Unity (1.1.3) – Unity integration

• Microsoft .NET SDK (v9.0) – required for compiling and running C# scripts

• Google ARCore Services (Play Store app) – enables AR motion tracking, surface detection, and environment understanding on Android

• Android smartphone with ARCore support
• Laser distance meter – accurate building measurements (±2 mm)
• Printed QR codes – placed across building checkpoints

1. Install Unity 2022.3.59f1

   • Create a 3D URP project.
   • Enable XR Plug-in Management → Android → ARCore.

2. Import Required Packages

   • AI Navigation, AR Foundation, ARCore XR Plugin, TextMeshPro, ProBuilder, UI Rounded Corners.

3. Integrate ZXing.Net

   • Download from GitHub.
   • Extract and copy files into Assets/Plugins/ZXing.

4. Configure Visual Studio Code

   • Install the extensions listed in System Requirements.
   • Set VS Code as the External Script Editor in Unity preferences.

5. Install .NET SDK v9.0

   • Download here.

6. Enable ARCore on Android device

   • Install Google Play Services for AR from Play Store.
   • Ensure the device is ARCore-compatible.

7. Deploy & Run

   • Connect Android device via USB.
   • Build and run from Unity → Android platform.

• Accurate multi-floor navigation achieved.
• Voice-guided and visual AR navigation supported.
• QR code localisation ensured consistent alignment.
• Shortest-path rerouting successfully implemented.
• Enhanced user experience and accessibility compared to traditional methods.

• Expand coverage to lecturers’ offices and more building areas.
• Integrate hybrid localisation (beacons/Wi-Fi + QR codes).
• Add AI-based navigation for smart rerouting and movement prediction.
• Improve UI with dynamic mini maps, animated paths, and customisable AR styles.
• Extend platform support to iOS devices.

⚔️ Selected as one of the Top 19 Final Year Projects to participate in the AutoCount UTAR FICT FYP Competition (June Trimester 2025) among 50+ applicants.

This project is developed as part of the Bachelor of Computer Science (Honours) Final Year Project at Universiti Tunku Abdul Rahman (UTAR).
Licensed under the MIT License.

Lee Chorng Huah
Bachelor of Computer Science (Honours)
Faculty of Information and Communication Technology (FICT) – UTAR