Feb 26
What if defects could be predicted before they actually show up? That is the idea behind AI techniques for quality defect prediction. Instead of only reacting to visible issues, manufacturers can analyze production data, detect patterns, and identify risk factors early. It shifts quality control from reactive to proactive, which can make a noticeable difference in efficiency.
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