Reducing Pseudo-error Rate of Industrial Machine Vision Systems with Machine Learning Methods

A Machine Vision For Complex Industrial Parts With Learning Capability

Department of C o n t r o l E n g i n e e r i n g Osaka U n i v e r s i t y Toyonaka, Osaka, Japan

Industrial Application of Machine Vision

Inspection of components using machine vision technologies provides solution for quality and process control. Various applications of Machine vision technologies are automotive, Pharmaceutical, food and beverage, electronics, packages, process control and special application. In this paper dimensional measurement, optical character reorganization, process control using image processing, checkin...

Machine Learning, Machine Vision, and the Brain

The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this paper we review our work over the last ten years in the area of supervised learning, focusing on three interlinked directions of research: theory, engineering applications (making intelligent software) and neuroscience (understanding the brain’s mechanisms of learning) wh...

Forecasting terminal call rate with machine learning methods

This paper deals with the development of a model to predict the products’ terminal call rate (TCR) during the warranty period. TCR represents a key information for a quality management department to reserve the necessary funds for product repair during the warranty period. TCR prediction is often carried out by parametric models such as Poisson processes, ARIMA models and maximum likelihood est...

Variational Methods in Machine Vision