ImaageQ_Unity_App/README.md
Ignacio Gómez Puga 5847d844a5 Removed TOTU 103
2025-03-04 12:04:52 -06:00

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AR Mobile Project

This project is a mobile augmented reality (AR) demo developed in Unity. It includes components for space measurement, object placement, object detection, and optimized rendering for mobile devices.

Project Structure

  • Assets/
    • Measurements/: Scripts and resources for the space measurement component.
    • ObjectPlacement/: Scripts and logic for placing objects within the AR environment.
    • Rendering/: Scripts for rendering optimization to improve mobile performance by loading only visible objects.
    • ObjectDetection/: Scripts and models for object detection using various algorithms (e.g., YOLO, R-CNN).
    • Models/: 3D models used in the demo.
    • Textures/: Textures associated with the 3D models.
    • Prefabs/: Prefabs for objects used in the scene, configured with specific layers and tags.
    • Scenes/: Project scenes, including the main scene.

Setup and Requirements

  • Unity Version: This project requires Unity 6 or higher.
  • AR Foundation: The project uses AR Foundation and ARCore for augmented reality functionality.
  • Target Platforms: Android and iOS.

Components

1. Space Measurement (Measurements)

This component enables spatial scanning and generates polygons defining an area where objects can be placed. Measurement data is shared in a specific format for seamless integration with the placement component.

2. Object Placement (ObjectPlacement)

This component allows object placement within the area defined by the measurement component. It ensures objects remain within the area and prevents collisions when placing multiple objects.

3. Rendering Optimization (Rendering)

Rendering optimization loads only visible objects, which helps reduce memory usage on mobile devices. Selective rendering is based on viewing angles and distance.

4. Object Detection (ObjectDetection)

This component uses object detection models to identify pre-existing elements in the environment, such as doors and windows. Testing includes models such as YOLO and R-CNN.

Integration

A central GitHub repository has been set up for integration. Each component should be added to its specific folder within Assets/. Final integration is handled within the main project scene.

Contributor Instructions

  1. Clone the Repository: git clone <repository-url>
  2. Assets Folder: Ensure your files are placed in the appropriate folder within Assets/.
  3. Git Workflow: Commit frequently and update from the main branch before merging.

Credits

This project was developed with contributions across measurement, object placement, rendering, object detection, and 3D models, with final integration handled within Unity.