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One of India’s leading potato chip producers was discarding up to 7% of its finished product due to defective quality issues. When manual inspection results did not generate the desired quality improvement outcome, they turned to SparkCognition Visual AI Advisor—taking advantage of computer vision-enabled efficiencies that quickly delivered significant quality control gains. Learn how Visual AI Advisor:  

Proved better than 90% effective at identifying undesirable potatoes before they entered the customer’s potato chip processing line. 

Determined the total potato defect percentage of the batch based upon specific parameters set by the customer.

Caught 15% more defects than manual methods.

USE CASE

Enhancing Quality Control with AI-Powered Visual Inspection

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