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Quality Control

Problem: Traditional manual inspection methods in quality control are slow and prone to errors, leading to defect detection issues and higher costs.

Solution: AI-powered visual inspection systems use computer vision to detect defects with greater accuracy and speed. These systems inspect products throughout production and can automate corrective actions.

Result: Foxconn achieved a defect detection rate above 90% with AI, significantly better than manual methods. GE Appliances reduced defects by 50% and increased customer satisfaction. AI visual inspection enhances product quality, boosts efficiency, and reduces costs.