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Reseach Article

A Machine Vision for Automatic Hydrometers Calibration

by Jerri B. De Souza, Miréia Florêncio Maio, Peterson A. Belan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 35
Year of Publication: 2021
Authors: Jerri B. De Souza, Miréia Florêncio Maio, Peterson A. Belan
10.5120/ijca2021921729

Jerri B. De Souza, Miréia Florêncio Maio, Peterson A. Belan . A Machine Vision for Automatic Hydrometers Calibration. International Journal of Computer Applications. 183, 35 ( Nov 2021), 14-18. DOI=10.5120/ijca2021921729

@article{ 10.5120/ijca2021921729,
author = { Jerri B. De Souza, Miréia Florêncio Maio, Peterson A. Belan },
title = { A Machine Vision for Automatic Hydrometers Calibration },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2021 },
volume = { 183 },
number = { 35 },
month = { Nov },
year = { 2021 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number35/32155-2021921729/ },
doi = { 10.5120/ijca2021921729 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:44.475657+05:30
%A Jerri B. De Souza
%A Miréia Florêncio Maio
%A Peterson A. Belan
%T A Machine Vision for Automatic Hydrometers Calibration
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 35
%P 14-18
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to the changes imposed by Industry 4.0, the service market has also been changing, including metrological laboratories, where this adaptation is increasingly necessary. Andthis evolution has been called Metrology 4.0, where the automation of calibration processes is necessary, and with this these processes become more agile and less susceptible to human errors. The calibration ofHydrometers (glass densimeters) is a point of extreme importance for various sectors of industry and commerce, with this equipment it is possible to check the quality of products such as alcohol, petroleum derivatives, oils, milk among others.This project proposes the development of a device (including hardware and software) described as a computer vision machine (MVS) for automatic calibration of hydrometers by the Cuckow method using computer vision techniques.The results showed robustness and accuracy for the calibration task of glass densimeters by the proposed MVS and the other point to be highlighted is the measurement speed, where each measuring point took an average of 6 seconds to stabilize and final reading of the value.

References
  1. Alegria, F.C. and Serra, A.C. 2000. Computer vision applied to the automatic calibration of measuring instruments. Meas J Int Meas Confed 28(3):185–195.
  2. Guo, J., Peng, X., Yu, J., Hao, J., Diao, Y., Song, T., Li, A., and Lu, X. 2015. Fast and precise dense grid size measurement method based on coaxial dual optical imaging system. In: Han S, Ellis JD, Guo J, Guo Y (eds) Opt. Test, Meas. Equip. p 967705.
  3. Belan, P., Araújo, S.A., and Librantz, A.F.H. 2019. A machine vision system for automatic sieve calibration. Meas Sci Technol. doi: 10.1088/1361-6501/ab37c0.
  4. Alegria, F.C. and Serra, A.C. 2000. Automatic calibration of analog and digital measuring instruments using computer vision. IEEE Trans Instrum Meas 49(1):94–99.
  5. Abdelsalam, D.G., Baek, B.J., and Kim, D. 2011. Precise test sieves calibration method based on off-axis digital holography. J Opt Soc Korea 15(2):146–151.
  6. Andonov, S. and Cundeva-Blajer, M. 2018. Calibration for Industry 4.0 Metrology: Touchless Calibration. J Phys Conf Ser 1065(7):0–4.
  7. Belan, P., Araújo, S.A., and Librantz, A.F.H. 2019. A machine vision system for automatic sieve calibration. Meas Sci Technol. doi: 10.1088/1361-6501/ab37c0.
  8. Hemming, B., Fagerlund, a., and Lassila, a. 2007. High-accuracy automatic machine vision based calibration of micrometers. Meas Sci Technol 18:1655–1660.
  9. Hemming, B. and Heikki, L. 2002. Calibration of dial indicators using machine vision. Meas Sci Technol 13:45–49.
  10. Andria, G., Cavone, G., Fabbiano, L., Giaquinto, N., and Savino, M. 2009. Automatic Calibration System for Digital Instruments Without Built-in Communication Interface. :857–860.
  11. Vázquez-Fernández, E., Dacal-Nieto, A., González-Jorge, H., Martín, F., Formella, A., and Alvarez-Valado, V. 2009. A machine vision system for the calibration of digital thermometers. Meas Sci Technol 20(6):065106.
  12. Belan, P., Araujo, S.A., and Librantz, A.F.H. 2013. Segmentation-free approaches of computer vision for automatic calibration of digital and analog instruments. Meas J Int Meas Confed 46(1):177–184.
  13. Belan, P., Librantz, A.F.H., and Araújo, S.A. de. 2013. An Expert System for Improving Sieve Calibration Process. Int J Comput Appl 79(8):18–23.
  14. Belan, P., Araújo, S.A. de., and Librantz, A.F.H. 2012. Técnicas de visão computacional aplicadas no processo de calibração de instrumentos de medição com display numérico digital sem interface de comunicação de dados. Exacta 10(1):82–91.
  15. Lima Moreira, F.D., Kleinberg, M.N., Arruda, H.F., Costa Freitas, F.N., Valente Parente, M.M., De Albuquerque, V.H.C., and Rebou??as Filho, P.P. 2016. A novel Vickers hardness measurement technique based on Adaptive Balloon Active Contour Method. Expert Syst Appl 45:294–306.
  16. Zheng, C., Wang, S., Zhang, Y., Zhang, P., and Zhao, Y. 2016. A robust and automatic recognition system of analog instruments in power system by using computer vision. Measurement 92:413–420.
  17. Cuckow, F.W. 1949. A new method of high accuracy for the calibration of reference standard hydrometers. J Soc Chem Ind 68(2):44–49.
  18. Wright, J.D., Bean, V.E., and Aguilera, J. 2008. NIST Calibration Services for Hydrometers. Time .
  19. Aguilera, J., Wright, J.D., and Bean, V.E. 2008. Hydrometer calibration by hydrostatic weighing with automated liquid surface positioning. Meas Sci Technol. doi: 10.1088/0957-0233/19/1/015104.
  20. ISO. 1981. ISO - ISO 649-2:1981 - Laboratory glassware — Density hydrometers for general purposes — Part 2: Test methods and use. Int. Organ. Stand. Available from: https://www.iso.org/standard/4782.html, [22/09/2021].
  21. ISO. 1981. ISO - ISO 649-1:1981 - Laboratory glassware — Density hydrometers for general purposes — Part 1: Specification. Int. Organ. Stand. Available from: https://www.iso.org/standard/4781.html, [22/09/2021].
  22. World Economic Forum. 2018. The New Production Workforce: Responding to Shifting Labour Demands. .
  23. World Economic Forum. 2018. Driving the Sustainability of Production Systems with Fourth Industrial Revolution Innovation. .
  24. Schroeder, C. 2016. The Challenges of Industry 4.0 for Small and Medium-sized Enterprises. Bonn, Germany: Division for Economic and Social Policy.
  25. Wang, J., Liu, X., Shi, W., and Xu, C. 2021. A Fully Automatic Calibration System for Hydrometers in NIM. Mapan - J Metrol Soc India 36(2):259–268.
  26. OpenCV - Open Source Computer Vision Library. 2019. OpenCV - Open Source Computer Vision Library.
Index Terms

Computer Science
Information Sciences

Keywords

Cuckow density glass densimeter computer vision hydrometer.