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Mask Defect Detection System
Computer vision pipeline for automated quality inspection of face masks on production lines.
Computer Vision QA Deep Learning
Overview
Built an automated quality inspection system using deep learning to detect defects in face masks during high-speed production. The system runs in real-time on production lines.
Key Contributions
- Custom CNN architecture for defect classification
- Data augmentation pipeline for limited training samples
- Real-time inference on edge devices
- Integration with production line PLC systems