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Image Anomaly Detection in Manufacturing with AI and ML
The client’s objective was to modernize and automate the existing manual processes. They brought Adastra in to find a way to compare images from the current runs with those from past successful runs of that recipe of foam and issue alerts if any deviations were found.
We used an image segmentation model to determine the position of the cream line, which is the defining line between the liquid pour and the solid expanded foam. Determining the optimal position of this line is key to ensuring production of a consistent and reliable foam.
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