A non-contact level sensing technique using computer vision and artificial neural networks

Authors

Rhodesa Cruzet ⋅ PH Department of Physics, University of San Carlos
Renante Violanda ⋅ PH Department of Physics, University of San Carlos
Ben Zuidberg ⋅ PH Department of Physics, University of San Carlos
Roland Otadoy ⋅ PH Department of Physics, University of San Carlos

Abstract

A non-contact level sensing technique that incorporates computer vision and neural networks was developed. This technique was implemented in measurements of water levels in a cylindrical tank. The results showed that the technique developed is capable of measuring levels of liquids with better accuracy than that of the conventional techniques. Next to the improved accuracy, the method offers the advantage of the absence of a direct contact between the measuring instrument and the liquid.

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Issue

2003: Proceedings of the 21st Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP-2003-3E-02

Section

Instrumentation Physics

Published

2003-10-22

How to Cite

[1]

R Cruzet, R Violanda, B Zuidberg, and R Otadoy, A non-contact level sensing technique using computer vision and artificial neural networks, Proceedings of the Samahang Pisika ng Pilipinas 21, SPP-2003-3E-02 (2003). URL: https://proceedings.spp-online.org/article/view/SPP-2003-3E-02.