Overview
- Inspection of any production process can be tedious and repetitive and humans make mistakes.
- This book shows how even natural products with a high degree of variation can be subjected to the untiring and less error-prone inspection of a machine.
- Gives practical advice on the implementation of systems for the inspection of a wide variety of naturally occurring materials from stones to live animals.
- Includes supplementary material: sn.pub/extras
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Table of contents (17 chapters)
Keywords
About this book
- Case studies based on real-world problems to demonstrate the practical application of machine vision systems.
- In-depth description of system components including image processing, illumination, real-time hardware, mechanical handling, sensing and on-line testing.
- Systems-level integration of constituent technologies for bespoke applications across a variety of industries.
- A diverse range of example applications that a system may be required to handle from live fish to ceramic tiles.
Machine Vision for the Inspection of Natural Products will be a valuable resource for researchers developing innovative machine vision systems in collaboration with food technology, textile and agriculture sectors. It will also appeal to practising engineers and managers in industries where the application of machine vision can enhance product safety and process efficiency.
Editors and Affiliations
Bibliographic Information
Book Title: Machine Vision for the Inspection of Natural Products
Editors: Mark Graves, Bruce Batchelor
DOI: https://doi.org/10.1007/b97526
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2003
Hardcover ISBN: 978-1-85233-525-0Published: 10 December 2002
Softcover ISBN: 978-1-4471-3918-8Published: 03 October 2013
eBook ISBN: 978-1-85233-853-4Published: 18 May 2006
Edition Number: 1
Number of Pages: XX, 471
Topics: Quality Control, Reliability, Safety and Risk, Microwaves, RF and Optical Engineering, Image Processing and Computer Vision, Pattern Recognition, Control, Robotics, Mechatronics