Description
Automated defect detection leverages machine vision and AI algorithms to identify defects in products as they move through the production line. This use case improves quality assurance processes by catching imperfections in real-time, reducing the reliance on manual inspection and minimizing defective products reaching customers. By using computer vision models trained on product images, manufacturers can detect defects such as surface irregularities, missing components, and assembly errors with high accuracy and speed.
