Abstract
Regardless of the specific application or context, why is the role of computer vision so essential in electronics manufacturing? The following prime reasons must be put forward:
-
1.
The ever-decreasing physical dimensions of all parts, patterns, and defects; the tight tolerances; and the higher layer counts make it increasingly impossible for humans to carry out inspection and parts measurement, at least with the speed required by manufacturing throughput (Figure 1).
-
2.
Computer vision is mandatory as an in-process “auditing” facility, to help understand why, how, and where the defects or quality losses occurred, and ultimately in order to improve upon the process itself.
-
3.
The trend toward application of specific designs, with smaller production runs of each item, gives versatile vision systems a major advantage over single-purpose test systems.
-
4.
The processing power and price of specific or generic vision systems for electronics manufacturing have finally fallen into more reasonable ranges, especially as increasing portions of the inspection algorithms can be executed economically by fast vision-dedicated hardware (digital signal processors, array processing chips, pipelined processors, concurrent/parallel processors, and systolic and other arrays).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1990 Plenum Press, New York
About this chapter
Cite this chapter
Pau, L.F. (1990). Introduction and Organization of the Book. In: Computer Vision for Electronics Manufacturing. Advances in Computer Vision and Machine Intelligence. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0507-1_1
Download citation
DOI: https://doi.org/10.1007/978-1-4613-0507-1_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-7841-2
Online ISBN: 978-1-4613-0507-1
eBook Packages: Springer Book Archive