The week's pick
Reseach Article
A Machine Vision for Automatic Hydrometers Calibration
| 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
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.
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