Case study: Enhancing quality control with visual AI inspection

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 Avathon Visual AI—taking advantage of computer vision-enabled efficiencies that quickly delivered significant quality control gains. Learn how Visual AI:

• 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.