Automated defect detection and classification system for manufacturing quality control. Uses deep learning to identify and localize product flaws, integrates with production data, and stores results for root cause analysis.
- Real-time defect detection and classification
- Bounding box localization for defects
- Integration with production batch data
- Centralized database storage
- Defect pattern analysis
- Automated report generation
- Support for multiple defect types
git clone https://github.com/yourusername/defect-detector.git
cd defect-detector
pip install -r requirements.txt