Paper
1 March 1991 Machine vision platform requirements for successful implementation and support in the semiconductor assembly manufacturing environment
Christopher J. LeBeau
Author Affiliations +
Proceedings Volume 1386, Machine Vision Systems Integration in Industry; (1991) https://doi.org/10.1117/12.25397
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
In todays Semiconductor Manufacturing Industry it is becoming more difficult to utilize the human operator as the visual process control vehicle so as to cost-effectively achieve statistical process defect goals. Machine vision continues to make inroads cost-effectively improving manufacturing visual inspection requirements driving and sustaining desired process control capabilities. This paper will attempt to survey the attributes of automatic visual process monitoring within the Motorola Semiconductor Assembly Manufacturing environment. Such factors as defect control objectives inspection requirements vision engine platform application engineering and long-term application maintenance all of which contribute to the costeffectiveness of the automatic visual inspection task.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher J. LeBeau "Machine vision platform requirements for successful implementation and support in the semiconductor assembly manufacturing environment", Proc. SPIE 1386, Machine Vision Systems Integration in Industry, (1 March 1991); https://doi.org/10.1117/12.25397
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Cited by 1 scholarly publication.
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KEYWORDS
Inspection

Machine vision

Manufacturing

Image processing

Process control

Software development

Algorithm development

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