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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics
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Understanding and Applying Machine Vision, Revised and Expanded (Hardcover, 2nd edition)
Loot Price: R7,058
Discovery Miles 70 580
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Understanding and Applying Machine Vision, Revised and Expanded (Hardcover, 2nd edition)
Expected to ship within 12 - 19 working days
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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.
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