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AI for Photomask Inspection: Reducing False Rejects and Automating Judgment at Scale

In today’s semiconductor manufacturing environment, photomask inspection remains one of the most manual, time-consuming, and error-prone stages in the production process. Engineers often spend hours reviewing defect candidates only to discover that many are false rejects. This leads to unnecessary rework, lost throughput, and reduced yield. Traditional inspection tools struggle to keep up with evolving product complexity, and increasing human review capacity adds cost and inconsistency.