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AI That Fixes AOI: Eliminating False Rejects with High-Accuracy Classification

False rejects from Automated Optical Inspection (AOI) systems can pose a significant bottleneck in manufacturing, impacting yield, efficiency, and overall productivity. In manufacturing environments, especially those dealing with complex processes such as semiconductor manufacturing, every flagged defect requires a judgment team to manually review and classify it—a time-consuming and costly process that ultimately slows down production. This reliance on manual workflows creates inefficiencies, increases the potential for errors, and ultimately affects output quality. Manufacturing process automation is the key to addressing these challenges, reducing operational costs, and boosting overall efficiency.