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Andrea Trombin

1 paper indexed

arxivcs.CVcs.AIcs.LGeess.IV2026-07-23

Synthetic data generation framework for quality control automation in gravure printing

Korota Arsène Coulibaly, Mohamed Hamlich, Khalid Hmali, Andrea Trombin

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…

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