https://libeldoc.bsuir.by/handle/123456789/45796| Title: | Neural Network Approach for Estimating the Level and Volume of Liquid in Transparent Containers |
| Authors: | Golovko, V. Mikhno, E. Mamyha, A. |
| Keywords: | материалы конференций;conference proceedings;training dataset;deep neural network;container volume;liquid level;liquid volume |
| Issue Date: | 2021 |
| Publisher: | UIIP NASB |
| Citation: | Golovko, V. Neural Network Approach for Estimating the Level and Volume of Liquid in Transparent Containers / Golovko V., Mikhno E., Mamyha A. // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 56–60. |
| Abstract: | The main purpose of this paper is to represent and investigate a neural network approach for determining the volume of the container and the volume of an opaque liquid in a transparent bounded container. To achieve the purpose, we apply two models of neural networks, namely AlexNet and eXnet. We have prepared and created a training dataset. The results of experiments on determining the level and volume of liquid in transparent bounded containers are presented. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/45796 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Golovko_Neural.pdf | 1.73 MB | Adobe PDF | View/Open |
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