A global sustainable resources group uses Aicadium’s computer vision defect detection for paper manufacturing quality control

Need

A global sustainable resources group wanted to detect stack defects in paper reams and develop a scalable solution to be deployed across their production plants.

Solution

The group uses Aicadium’s computer vision modeling for classification, trained on photos of quality control defects and historical pass/fail records. The solution was able to learn from individual production lines and then scale across multiple plants.