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- W2898859938 abstract "Machine vision systems have proven their potential of effectively inspecting objects under consideration for surface and dimensional defects using various texture analysis techniques. However, current use of machine vision systems in industry is broadly limited to acceptance or rejection of product based on its quality. Their potential of providing complete solution to quality is not completely explored and utilized. Hence their exist opportunities for utilizing machine vision systems not only for inspection, but going one step ahead and using it for quality control. The information extracted by machine vision systems, over the period, can be analysed for monitoring production processes and detecting out-of-control signals. This paper provides a review of the attempts made by various researchers in the direction of integrating machine vision techniques with statistical quality control methods for providing vision based solution for quality control." @default.
- W2898859938 created "2018-11-09" @default.
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- W2898859938 date "2018-11-05" @default.
- W2898859938 modified "2023-10-16" @default.
- W2898859938 title "A Perspective of Integrated Machine Vision Based-Multivariate Statistical Process Control" @default.
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- W2898859938 doi "https://doi.org/10.1007/978-981-13-2490-1_42" @default.
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