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- W4226329897 abstract "AbstractThe paper proposes a prototype of a computer vision-based algorithm, which allows automatic quality control of one of the intermediate stages of metal smelting at a steelworks. During the transfusion of molten metal, the algorithm works with the data obtained from IP camera and makes it possible to determine deviations from the norm of the quality parameters of smelting from a real-time video stream. The algorithm consists of two stages. At the first stage, every frame is checked for containing the process of transfusion of molten metal. If the process is registered, at the second stage the frame is processed in order to calculate metrics that allow to estimate the amount of molten metal or bright fire in it, as well as the presence and amount of dim flame and smoke. If the metric values exceed thresholds, the operator receives a warning about possible problems and takes appropriate action." @default.
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- W4226329897 date "2022-01-01" @default.
- W4226329897 modified "2023-09-24" @default.
- W4226329897 title "Automatic Recognition of Metal Smelting Quality Using Machine Vision" @default.
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- W4226329897 doi "https://doi.org/10.1007/978-3-030-87966-2_83" @default.
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