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Journal ArticleDOI

Automated visual inspection techniques and applications: A bibliography

Roland T. Chin
- 01 Jan 1982 - 
- Vol. 15, Iss: 4, pp 343-357
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TLDR
In this article, a bibliography of publications, reports and articles dealing with automated visual inspection for industry, arranged in categories by subject matter, is presented, including the visual inspection of printed circuit boards, IC chips, semiconduction photomasks, automobile parts, fabric and other electrical assemblies.
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This article is published in Pattern Recognition.The article was published on 1982-01-01. It has received 25 citations till now. The article focuses on the topics: Visual inspection & Software inspection.

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Patent

System for inspecting pattern defects of printed wiring boards

TL;DR: In this paper, a first PWB is image-acquisited whereby obtained binary image data of the inspected area are stored in a memory unit, and in advance to the image acquisition of its inspected area, relative misregistration of the both PWBs is found by deviation data on respective marks of the first and second PWBs.
Journal ArticleDOI

A novel hybrid approach for crack detection

TL;DR: A novel hybrid approach for crack detection in raw images, which combines deep learning models and Bayesian probabilistic analysis for robust crack detection is proposed, which outperforms the state-of-the-art baseline approach on deep CNN classifier.
Journal ArticleDOI

A technical and economic assessment of computer vision for industrial inspection and robotic assembly

TL;DR: The use of computer vision to detect, measure, and perhaps guide the assembly of man-made components is potentially a very significant research and development area as mentioned in this paper, and the efficacy of these techniques for any given application depends on both technical and economic considerations.
Journal ArticleDOI

Artificial Intelligence Applications for Increasing Resource Efficiency in Manufacturing Companies—A Comprehensive Review

TL;DR: An overview of the current AI applications and how they affect resource efficiency is provided, with a focus on predictive maintenance, production planning, fault detection and predictive quality, as well as the increase in energy efficiency.
Journal ArticleDOI

Automatic defect classification of printed wiring board solder joints

TL;DR: An automatic windowing algorithm is developed for use in automatic printed wiring board solder joint inspection that uses Hough curve detection to locate the solder joint within the image.
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