Archive status: confirmed
Project Overview
A Python/OpenCV pipeline that converts photographed hand-drawn entity-relationship diagrams into structured relationships and SQL-oriented output.
Engineering Context
The project applies computer vision and document understanding to developer tools and education. The migrated archive includes 4 archived files (3.8 MB) that records the implementation and demonstration.
System Architecture
The system can be understood as an input and sensing layer, a control or processing layer, and an output, actuator, dashboard, or user-interface layer. The archived assets are retained in the organized knowledge base for future diagrams and deeper technical reconstruction.
Technologies
- Python
- OpenCV
- Grayscale processing
- Denoising
- Contour detection
- Shape classification
Engineering Challenges
- Noisy camera images
- Hand-drawn shape variation
- Relationship interpretation
Results
- Produced a working research prototype and retained source code
Source and Documentation
No public repository has been confirmed for this archived project.
Future Improvements
- Add OCR, graph validation, and modern deep-learning-based symbol detection