99.7% Accuracy in detecting all defects
4% Improvement in defect detection compared to manual inspection
$25K cost savings anually
The images captured from the cameras were stitched, sent to Jidoka’s AI/ML engine for identifying possible defects and the result made available within 0.8 seconds The output generated by the system is sent to an automatic rejection system which removes the defective bottles from the production line An alert mechanism is triggered to indicate continuous occurrence of any particular type of defect