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This paper introduces an AI-driven defect detection system for electronic assembly that enhances quality control by allowing manufacturers to customize defect thresholds and inspection parameters. The system employs a two-stage approach for real-time rejection of defective components during the pick-and-place process, achieving high-speed processing while minimizing waste and production inefficiencies. By enabling manufacturers to balance quality standards with production efficiency, the system significantl

Author

Eyal Weiss

Language

EN