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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
  1. F. C. Alegria,A. C. Serra, Computer vision applied to the automatic calibration ofmeasuring instruments, Measurement. 28 (2000)185–195.
  2. F. C. Alegria, A. C. Serra,Automatic Calibration of Analog and Digital Measuring Instruments Using Computer Vision, IEEE Transactions on Instrumentation and Measurement. 49 (2000) 94–99.
  3. G. Andria et al. , Automatic Calibration System for Digital Instruments Without Built-In Communication Interface,Anais do XIX IMEKO World Congress (Lisbon). (2009) 857–860.
  4. E. V. Fernández et al. , A machine vision system for the calibration of digital thermometers, Measurement Science and Technology. 20 (2009) 1–7.
  5. B. Hemming, H. Lehto, Calibration of dial indicators using machine vision, Measurement Science and Technology. 13 (2002) 45–49.
  6. B. Hemming, A. Fagerlund, A. Lassila, High-accuracy automatic machine vision based calibration of micrometers, Measurement Science and Technology. 18 (2007) 1655–1660.
  7. W. He et al. , Intelligent reading method for analog meter based on computer vision, Chinese Journal of Scientific Instrument. 28 (2007) 1234–1239.
  8. P. A. Belan, S. A. Araújo, A. F. H. Librantz, Computer vision techniques applied to the process of calibrating measurement instruments having numeric displays without built-in data communication interfaces, Exacta. 10 (2012) 83–91.
  9. P. A. Belan, S. A. Araújo, A. F. H. Librantz, Segmentation-free approaches of computer vision for automatic calibration of digital and analog instruments, Measurement Science and Technology. 46 (2013) 177–184.
  10. R. C. Gonzalez, R. E. Woods, Digital Image Processing. Massachusetts: Addison-Wesley. 793 pp, 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Calibration Computer Vision Sieve Otsu algorithm.

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