Cognex Deep Learning's defect detection and classification tools are trained on a variety of qualified and defective weld joint variations, and learn to accurately classify and distinguish between functional and cosmetic flaws. By using an example-based approach rather than traditional rule-based machine vision, application development time can be reduced.