|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 79 - Issue 8 |
| Published: October 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 },
year = { 2013 },
volume = { 79 },
number = { 8 },
pages = { 18-23 },
doi = { 10.5120/13761-1601 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Peterson Adriano Belan
%A Andre Felipe H. Librantz
%A Sidnei Alves De Araujo
%T An Expert System for Improving Sieve Calibration Process%T
%J International Journal of Computer Applications
%V 79
%N 8
%P 18-23
%R 10.5120/13761-1601
%I Foundation of Computer Science (FCS), NY, USA
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.