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An Expert System for Improving Sieve Calibration Process

by Peterson Adriano Belan, andre Felipe H. Librantz, Sidnei Alves De Araujo
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 8
Year of Publication: 2013
Authors: Peterson Adriano Belan, andre Felipe H. Librantz, Sidnei Alves De Araujo
10.5120/13761-1601

Peterson Adriano Belan, andre Felipe H. Librantz, Sidnei Alves De Araujo . An Expert System for Improving Sieve Calibration Process. International Journal of Computer Applications. 79, 8 ( October 2013), 18-23. DOI=10.5120/13761-1601

@article{ 10.5120/13761-1601,
author = { Peterson Adriano Belan, andre Felipe H. Librantz, Sidnei Alves De Araujo },
title = { An Expert System for Improving Sieve Calibration Process },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 8 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number8/13761-1601/ },
doi = { 10.5120/13761-1601 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:29.035781+05:30
%A Peterson Adriano Belan
%A andre Felipe H. Librantz
%A Sidnei Alves De Araujo
%T An Expert System for Improving Sieve Calibration Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 8
%P 18-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The reliability of the results obtained from instruments calibration is a problem frequently found in the calibration laboratories, especially when these instruments are mechanical and do not have a built-in communication interface. In this case, the time consuming is increased significantly and the calibration may be subject to human error. In this paper, a machine vision based system for automatic calibration of sieve was presented. The proposed equipment joined to the proposed technique showed in the results a reduction of 97% in the spending time for calibration process when compared to the traditional methods with the same accuracy.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Calibration Computer Vision Sieve Otsu algorithm.

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