Anomaly Detection for Inkjet Printing
Master’s Research | 2024
Developed defect detection models for multi-feature industrial images, combining traditional computer vision and deep learning techniques.
Key Achievements
- Achieved high-quality generated images with a diffusion model
- Implemented YOLO for accurate defect classification
- Designed and conducted experiments independently, using multiple techniques to address dataset and labeling challenges
Technologies Used
- Computer Vision
- YOLO
- Diffusion Models
- Anomaly Detection