Synthetic data generation framework for quality control automation in gravure printing
By Korota Arsène Coulibaly · Paper · cs.CV
Quality control in printing, particularly in rotogravure printing, still depends on slow, costly, and subjective manual inspection. Automated surface defect detection is critical for maintaining high-quality standards in rotogravure printing. Deep learning models give prospects f