METHOD FOR ON-LINE MACHINE VISION MEASUREMENT, MONITORING AND CONTROL OF PRODUCT FEATURES DURING ON-LINE MANUFACTURING PROCESSES

摘要

A method for extracting feature information from product images using multivariate image analysis based on Principal Component Analysis (PCA) which is used to develop predictive models for feature content and distribution on the imaged product. The imaging system is used to monitor product quality variables in an on-line manufacturing environment. It may also be integrated into a closed-loop feedback control system in automated systems.