AR-to-AI Data Capture Pipeline AR-to-AI Data Capture Pipeline

AR-to-AI Data Capture Pipeline

Developed a mobile AR application using Unity that place 3D assets in real-world environments and capture structured scene data for downstream AI pipelines.
Project Year
2025
Softwares/Frameworks Used
Unity (AR Foundation) , ARKit (iOS) , C#, Backend APIs (Cloud , Signed URL workflows)

AR Interaction System

  • Built a mobile AR application using Unity (AR Foundation with ARKit support)
  • Enabled users to:
    • Upload and place 3D models (.glb) in real-world environments
    • Interact with assets through placement, repositioning, and scene control
  • Implemented plane detection and surface tracking for stable AR placement

Structured Data Capture

  • Designed capture pipeline to extract structured outputs from AR sessions:
    • Background image (camera feed)
    • Foreground mask (binary alpha)
    • HDR environment data (CubeMap / lighting information)
  • Ensured captured data is suitable for downstream processing and compositing workflows

Backend Integration

  • Integrated with backend services using signed URL uploads
  • Designed payload system for transmitting AR session data to processing pipelines
  • Enabled asynchronous processing workflows with real-time feedback in the app

Multi-Modal Processing Workflows

  • Supported both:
    • 3D workflows → environment-aware processing using captured spatial data
    • 2D workflows → image-based processing using captured frames
  • Enabled flexible pipeline integration depending on downstream requirements

Performance & Optimization

  • Implemented image compression for faster data transfer
  • Optimized model handling for mobile performance constraints
  • Ensured stable AR tracking and responsive interaction on supported iOS devices

Use Case & Impact

  • Bridges real-world capture with digital content creation pipelines
  • Enables scalable data acquisition for AI-driven and rendering workflows
  • Supports rapid iteration and content generation from user-driven inputs

Link to GitHub
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