Level Measurements with Computer vision - Comparison of traditional and modern Computer vision Methods
DOI:
https://doi.org/10.3384/ecp21185140Keywords:
level measurement, computer vision, image segmentation, ResNet34Abstract
In this work, modern machine learning methods are compared against traditional image processing techniques, for the purpose of estimating the level of coffee beans in a transparent tank fitted to a coffee machine. Measurements using both approaches are compared against manual level measurements. The resulting algorithm are analysed for repeatability under scene variations, such as orientation of the tank with respect to the camera and the distribution of coffee beans.References
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Copyright (c) 2022 Eirik Døble, Sindre Haugseter, Christian Mikkelsen, Jørgen Bang Sneisen, Nils-Olav Skeie, Ole Magnus Brastein
This work is licensed under a Creative Commons Attribution 4.0 International License.
