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The use of computer vision for automated control of gypsum feed and conveyor belt movement in the production of a gypsum plasterboard
Author(s) -
L. A. Kotyuzanskiy,
N. V. Chetverkin,
Natalia G. Ryzhkova
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/709/3/033068
Subject(s) - gypsum , conveyor belt , task (project management) , computer science , control (management) , environmental science , computer vision , artificial intelligence , engineering , mechanical engineering , geology , paleontology , systems engineering
The paper presents a description of the gypsum dough spill analysis method on the basis of computer vision for automated control of gypsum feed and conveyor belt speed. The task of computer vision is to control the form of gypsum dough spill on the basis of optical analysis of video data in real time.

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