AINeutralarXiv – CS AI · 7h ago6/10
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Data Collection for Training Quality-Control AI in Carpet Manufacturing
Researchers present a machine-vision system design for real-time carpet quality control that combines automated defect detection with systematic data collection for training AI models. The proposal, grounded in an actual Six Sigma manufacturing project, addresses production bottlenecks by moving beyond slow manual inspection to progressively improve defect detection through a staged machine-learning approach.