Manufacturing

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%.

Download Case Study

    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

    Recommended Case Studies

    Deploying AI to Automate Defect Detection in Intimate Care Products Manufacturing

    Read More

    Leveraged data-driven insights to amplify Assortment Optimization for a Leading CPG Client

    Read More

    Next Gen Hyper Personalization for a F500 OTA Major

    Read More

    Manas Agrawal

    CEO & Co-Founder

    Facebook Twitter Youtube

    Add Your Heading Text Here

    Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.