A discussion of applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances of the engineering and system integration of machine vision technology.

This eagerly anticipated, revised and updated reference discusses applications of machine vision technology in the semiconductor, electronic, automotive, wood, food, pharmaceutical, printing, and container industries-describing systems that enable projects to move forward swiftly and efficiently. Minimize the risk and avoid the pitfalls associated with working for the first time in an area of new technology Focusing on the nuances of the engineering and system integration of machine vision technology, the Second Edition of Understanding and Applying Machine Vision considers three-dimensional and color machine vision techniques offers the means to perform a back-of-the-envelope estimate to determine the feasibility of a specific application outlines the step-by-step introduction of machine vision into a factory details how to integrate machine vision systems into production processes reviews the algorithms available in commercial machine vision systems provides methodology to evaluate machine vision system vendors explains how to conduct buy-off procedures reviews the underlying principles of image processing and analysis and more Surveying the history of machine vision and including recent developments in the field in the 10 years since publication of the first edition, the Second Edition of Understanding and Applying Machine Vision is an excellent reference for manufacturing, production, quality, industrial, electrical, mechanical, packaging, process, control, automotive, plant, plastics, methods, automation, robotics, and optical engineers and managers; application engineers and trainees at merchant machine vision companies and machine vision system integrators; and upper-level undergraduate and graduate students in these disciplines.

Aimed at manufacturing managers and engineers looking for an introduction to computer vision and its potential, this book discusses the areas in which machine vision is being used, explains different types of machine vision hardware and software and summarizes research at several universities. The book's key chapter highlights the use of machine vision for automated inspections, discussing cases in bottling, parts, printed circuit board inspection and inspection and other areas. The authors explain how to pinpoint areas where machine vision can be applied effectively and the factors to consider. Included is a glossary of computer vision terms and a list of machine vision companies. This book should be of interest to manufacturing managers and engineers.