Abstract
Although much attention has been given in the literature to the application of machine vision systems in connection with their use for enhancing the ability and flexibility of robots (so-called smart robots), as of the latter half of the 1980s, statistics indicate that non-robotic applications for machine vision are in the majority. The general categories of such uses include: (1) identification, (2) classification, (3) sorting and measuring, (4) inspection, (5) verification, and (6) quality control. Machine vision systems are enjoying a rather wide acceptance in the electronics manufacturing industry. A number of robotic guidance applications of machine vision, in addition to those mentioned in this article, pertain to automated industrial operations, such as welding, machining, painting, assembly, materials handling, among others.
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Additional Reading
Aleksander, I., Ed.: “Artificial Vision for Robots,” Chapman & Hall, New York, 1983.
Chester, M.: “Surveying the Array-Processor Landscape,” Electronic Products, 42–47, July 1986.
Hunt, V. D. D.: “Smart Robots,” Chapman & Hall, New York, 1985.
Morris, H. M.: “Industry Begins to Apply Vision Systems Widely,” Cont. Eng., 68–70, January 1985.
Morris, H. M.: “Robots See in 3-D,” Cont. Eng., 72–75, January 1986.
Poggio, T.: “Vision by Man and Machine,” Sci. Amer., 106–116, April 1984.
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© 1986 Chapman and Hall
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Considine, D.M., Considine, G.D. (1986). Machine Vision: State-of-the-Art Systems. In: Considine, D.M., Considine, G.D. (eds) Standard Handbook of Industrial Automation. Chapman and Hall Advanced Industrial Technology Series. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1963-4_7
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DOI: https://doi.org/10.1007/978-1-4613-1963-4_7
Publisher Name: Springer, Boston, MA
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