Deep learning technology uses neural networks which mimic human intelligence to distinguish anomalies, parts, and characters while tolerating natural variations in complex patterns. Deep learning offers an advantage over traditional machine vision approaches, which struggle to appreciate variability and deviation between very visually similar parts.

Deep learning-based software tools like USS Vision Surface Scan can now can perform judgment-based part location, inspection, classification, and character recognition challenges more effectively than humans or traditional machine vision solutions.

Application Examples Include: