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AI defect detection is based on computer vision that provides capabilities for automating the whole AI quality inspection. The accuracy of quality control rose up from 90% to 99% percent, while approximately $49,000 labor costs were cut by production line. Traditional machine learning methods present several limitations to how we can train and utilize models for defect detection. We’ll discuss the advantages of unsupervised learning and elaborate on the approaches MobiDev uses in our practical experience. The majority of machine learning applications rely on machine learning.