A modular, cross-platform application for real-time 3D intraoral scanning, post-processing, measurement, and export. Designed for dental clinicians, laboratories, and future integration with AI diagnostics.

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🚀 Features

• Live 3D Scanning: Captures RGB + depth streams from USB or structured-light handheld scanners
• Real-time Reconstruction: Generates point cloud and meshes on-the-fly
• Smart Auto-Resume: Continues scanning from interrupted areas without restarting
• Mesh Processing Tools: Includes smoothing, simplification, hole filling, trimming, color correction
• Occlusion & Bite Scanning: Supports occlusion modeling and bite registration
• Interactive 3D Viewer: Rotate, pan, zoom, and slice (axial/coronal) views
• Measurement Tools: Distance, angle, and volume measurements
• Scan Completeness Heatmap: Highlights unscanned regions during capture
• File Export: STL, OBJ, PLY, and DICOM formats supported
• CAD/CAM Compatibility: Ready for integration with common dental platforms
• Secure Data Management: Encrypted patient data, session history, version control, GDPR/HIPAA compliance
• Modular, Extensible Architecture: Easily add AI-guided margin detection or cloud integration

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🧱 Architecture

+--------------------+        +-------------------------+        +-------------------+
| Acquisition Module | → RGB + Depth streams      | Reconstruction Engine | → Real-time 3D Model |
+--------------------+        +-------------------------+        +-------------------+
                                       ↓
                           Post-Processing Tools Module
                                       ↓
                             Interactive GUI Layer
                                       ↓
                         Export & Integration Module
                                       ↓
                      Data Management (Storage & Security)

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💻 Tech Stack

• Backend:

  • C++ or Python with Open3D / PCL / OpenCV
  • Core engine handles sensor input, point cloud fusion, mesh generation

• Frontend:

  • Qt (C++) or Electron (JS/TS)
  • Real-time 3D rendering and UI tools

• Communication:

  • WebSocket or REST for scanner device connectivity

• Data Handling:

  • Encrypted SQLite / JSON file storage
  • Local first, optional cloud sync

• AI Module (Optional):

  • ML model for margin detection & scan guidance

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📦 Installation

1. Clone the repo

   git clone https://github.com/sdkh732/sina.git
   cd sina
   git checkout initial-project-skeleton

2. Install dependencies

   • Python backend:

     pip install -r backend/requirements.txt

   • C++ backend

     mkdir build && cd build
     cmake ..
     make

   • Frontend (Electron):

     cd frontend
     npm install

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🧪 Usage Examples

• Start backend

  ./backend/run_scanner --device /dev/video0

• Launch UI

  cd frontend && npm start

• Simulate scan (testing)

  ./backend/run_scanner --simulate sample_data/

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🛠️ Development Workflow

1. Create feature branch

   git checkout -b feature/mesh-processing

2. Code new module in backend/src/meshing or frontend/src/components

3. Add unit tests in tests/backend or tests/frontend

4. Build and run tests

   # Backend
   pytest tests/backend
   # Frontend
   npm test

5. Open pull request, describe changes, and assign reviewers

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✅ Roadmap

• Integrate AI for margin detection and scan guidance
• Implement DICOM and PACS export
• Add cloud synchronization and multi-user support
• Extend measurement features (e.g., arch form analysis)
• Implement touch/tablet-friendly UI controls

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📄 License

This project is released under the MIT License. See LICENSE for details.

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👥 Contributors

• sdkh732 – Project initiator