Case Study

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 modelling 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.

Impact

The model achieves a higher level of defect detection accuracy than ever before. With fast accurate deployment of a new line within weeks rather than months, the solution has a fast time to impact on the business.

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