Deploying AI to Automate Defect Detection in Intimate Care Products Manufacturing

Streamlined product defect detection processes using AI and achieved success rate of 98.89%.

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Business Quandary

Performing quality control for big batches of products using manual processes is not efficient. A fem-care product can exhibit a plethora of defects that go undetected due to human oversight.

The client wanted Affine to formulate an automated system of fault detection at the production stage. The objective was that defect detection rates through AI should surpass the current manual detection threshold

Augmented Outcomes

86%

Fold Defects

90%

Contamination Defects

81%

Tear Defects

95%

Overall Defect Detection

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