0

Full Content is available to subscribers

Subscribe/Learn More  >

Air Bubble Detection for Product Quality Inspection

[+] Author Affiliations
Teruaki Ito

The University of Tokushima, Tokushima, Japan

Paper No. DETC2011-47630, pp. 833-838; 6 pages
doi:10.1115/DETC2011-47630
From:
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5479-2
  • Copyright © 2011 by ASME

abstract

Product quality is one of the critical issues to be competitive in the global market place. Especially, food production companies are strongly required to control high product quality in their production lines. The contaminations such as metallic, or plastic, organic materials are harmful to human body and should be eliminate as much as possible. Therefore, machine inspections, such as X-ray or fluorescence spectrum methods work effectively to eliminate these contamination substances. However, the final inspections are taken care of by human inspectors to make sure the product quality kept in the required specifications. Contaminations are not perfectly eliminated by machine inspections and human inspections could cover some of them. That is not the only reason why the human inspector takes care of. Even though there is no contamination in the products, appearance of products may decrease the quality of the products. For example, even though air bubble has nothing to do with the taste of Tofu, customers do not purchase such Tofu which contains many air bubbles, whereas they would buy Tofu with some air bubble. Therefore, human inspectors review the Tofu package to check the defective products because of the air bubble, which is hard to be processed by machine inspection. This study proposes image processing-based air bubble detection method on Tofu packages to inspect the product quality without image sensor devices. Based on the results of air bubble detection on the Tofu package, the evaluation will be made on each package. The study applied an evaluation criterion based on the experiments. However, the results are not always identical to those by human inspection because of the disagreement of threshold value in evaluation. This paper presents the image-processing air bubble detection method to determine the quality of Tofu products and discusses the feasibility of this method in comparison with the human inspection results.

Copyright © 2011 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In