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Real-time Industrial Vision System for Automatic Product Surface Inspection

Published: 02 November 2016 Publication History

Abstract

Product surface inspection plays a significant role in industrial aspects. Large industrial manufacturing requires such inspection procedure of high speed and accuracy at a fairly reasonable cost, which is precisely the demand automatic surface inspection systems are applied to meet. In this paper, we have constructed a vision system prototype employing image processing and pattern recognition approaches to classify those defective products automatically. Our algorithm first collects products images, then send them to preprocess. After that, we implement pattern extraction based on Fourier-Mellin transform, and classify the product patterns based on principle component analysis as well as support vector regression. The prototype has proven itself reliable through reaching accuracy of more than 90%.

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Cited By

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  • (2022)A Novel Learning Based Non-Lambertian Photometric Stereo Method for Pixel-Level Normal Reconstruction of Polished SurfacesMachines10.3390/machines1002012010:2(120)Online publication date: 8-Feb-2022
  • (2017)A Novel Active Imaging Model to Design Visual Systems: A Case of Inspection System for Specular SurfacesSensors10.3390/s1707146617:7(1466)Online publication date: 22-Jun-2017
  • (2017)Visual Inspection by Capturing a Rotating Industrial PartJournal of the Japan Society for Precision Engineering10.2493/jjspe.83.118483:12(1184-1191)Online publication date: 2017

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cover image ACM Other conferences
ICIME 2016: Proceedings of the 2016 8th International Conference on Information Management and Engineering
November 2016
104 pages
ISBN:9781450347617
DOI:10.1145/3012258
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 November 2016

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Author Tags

  1. image processing
  2. industrial vision
  3. pattern recognition
  4. surface inspection

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ICIME 2016

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ICIME 2016 Paper Acceptance Rate 19 of 31 submissions, 61%;
Overall Acceptance Rate 19 of 31 submissions, 61%

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Cited By

View all
  • (2022)A Novel Learning Based Non-Lambertian Photometric Stereo Method for Pixel-Level Normal Reconstruction of Polished SurfacesMachines10.3390/machines1002012010:2(120)Online publication date: 8-Feb-2022
  • (2017)A Novel Active Imaging Model to Design Visual Systems: A Case of Inspection System for Specular SurfacesSensors10.3390/s1707146617:7(1466)Online publication date: 22-Jun-2017
  • (2017)Visual Inspection by Capturing a Rotating Industrial PartJournal of the Japan Society for Precision Engineering10.2493/jjspe.83.118483:12(1184-1191)Online publication date: 2017

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