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An Expert System for Improving Sieve Calibration Process

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 79 - Number 8
Year of Publication: 2013
Authors:
Peterson Adriano Belan
André Felipe H. Librantz
Sidnei Alves De Araújo
10.5120/13761-1601

Peterson Adriano Belan, Felipe H Librantz and Sidnei Alves De Araujo. Article: An Expert System for Improving Sieve Calibration Process. International Journal of Computer Applications 79(8):18-23, October 2013. Full text available. BibTeX

@article{key:article,
	author = {Peterson Adriano Belan and andre Felipe H. Librantz and Sidnei Alves De Araujo},
	title = {Article: An Expert System for Improving Sieve Calibration Process},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {79},
	number = {8},
	pages = {18-23},
	month = {October},
	note = {Full text available}
}

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

  • F. C. Alegria,A. C. Serra, Computer vision applied to the automatic calibration ofmeasuring instruments, Measurement. 28 (2000)185–195.
  • 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.
  • 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.
  • E. V. Fernández et al. , A machine vision system for the calibration of digital thermometers, Measurement Science and Technology. 20 (2009) 1–7.
  • B. Hemming, H. Lehto, Calibration of dial indicators using machine vision, Measurement Science and Technology. 13 (2002) 45–49.
  • B. Hemming, A. Fagerlund, A. Lassila, High-accuracy automatic machine vision based calibration of micrometers, Measurement Science and Technology. 18 (2007) 1655–1660.
  • W. He et al. , Intelligent reading method for analog meter based on computer vision, Chinese Journal of Scientific Instrument. 28 (2007) 1234–1239.
  • 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.
  • 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.
  • R. C. Gonzalez, R. E. Woods, Digital Image Processing. Massachusetts: Addison-Wesley. 793 pp, 2002.
  • H. Y. Kim, ProEikon –Library for Image Processing and Computer Vision Access at fev. 2010.