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Proceedings Paper

Determination of gas pressure with use of a digital camera and neural networks
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Paper Abstract

The work concerns the study of the possibility of using an artificial neural network to determine the gas pressure or liquid, in the flow system. The basis for determining the pressure is the view of the membrane, which is obtained discreetly from the vision sensor. The essence of the method operation consists of associating the fuzzy image of the marker placed on the membrane with the corresponding reference pressure value, which in the network learning process, is read from the standard pressure gauge. The test used a device allowing the measuring of gas pressure with an accuracy no lower than 2%. The operation of the artificial neural network is based on identifying the degree of blurring the marker on the examined views of the membranes and associating them with the pressure values. In the case when the membrane views cannot be uniquely qualified for the training set, the network acts as an interpolator and predicts the pressure value.

Paper Details

Date Published: 13 September 2019
PDF: 6 pages
Proc. SPIE 11204, 14th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 1120405 (13 September 2019); doi: 10.1117/12.2536537
Show Author Affiliations
Leszek Grad, Military Univ. of Technology (Poland)
Tomasz Malinowski, Military Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 11204:
14th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods
Przemyslaw Struk; Tadeusz Pustelny, Editor(s)

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