Machine vision alogrithms that learn

Abstract

Machine vision systems, whether running embedded or on a desktop PC, are becoming more powerful as the hardware components that comprise them increase in performance. This has allowed for more complex algorithms to be developed that can learn, see, identify, and guide. Learning algorithms for machine vision are essential for many of the applications that require inspection and guidance. These algorithms typically require some type of learning step before the actual inspection can take place. Some of the algorithms that fall into this category include pattern matching, geometric matching, colour matching, colour pattern matching, classification and optical character recognition (OCR). Many industries rely on these algorithms to speed-up manufacturing, increase yields, and improve quality.