Synthetic data generation framework for quality control automation in gravure printing
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 for automation. However, training robust deep learning models, such as YOLO or Vision Transformers, is heavily hindered by the extreme scarcity of real-world industrial defects images. To overcome this limitation, this paper introduces a novel synthetic data generation framework tailored for rotogravure printing quality
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet →
“Fuzzy title match (0.94): “Synthetic data generation framework for quality control auto” ≈ “lllyasviel/ControlNet””
- FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet-v1-1 →
“Fuzzy title match (0.94): “Synthetic data generation framework for quality control auto” ≈ “lllyasviel/ControlNet-v1-1””
- PossiblePossibly related (embedding) · 47%A low-cost "plant-scanner" platform for automated detection of Ustilago maydis infection in maize using deep learning - Nature →
- PossiblePossibly related (embedding) · 45%A deep learning optimized model for classification and detection of rice leaf diseases - Nature →
- FuzzySimilar title/name (fuzzy) · 59%builderz-labs/mission-control →
“Fuzzy title match (0.73): “Synthetic data generation framework for quality control auto” ≈ “builderz-labs/mission-control””
- LinkedLinked via arxiv author · 85%Korota Arsène Coulibaly →
“Synthetic data generation framework for quality control automation in gravure printing”
- LinkedLinked via arxiv author · 85%Mohamed Hamlich →
“Synthetic data generation framework for quality control automation in gravure printing”
- LinkedLinked via arxiv author · 85%Khalid Hmali →
“Synthetic data generation framework for quality control automation in gravure printing”