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A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors.

Authors :
Zhang, Mengchao
Zhou, Manshan
Shi, Hao
Source :
Mathematical Problems in Engineering; 11/21/2020, p1-9, 9p
Publication Year :
2020

Abstract

Real-time load detection method for belt conveyors based on computer vision is the research topic of this paper. A belt conveyor system equipped with cameras and a laser generator is used as the test apparatus. As the basis for conveyor intelligent speed regulation, two methods from different angles to perceive the load of conveyor belt were proposed, applied, and compared in this paper. Method 1 is based on the area proportion and method 2 is the detection based on laser-based computer vision technology. Laboratory experiments show that both methods can well detect the load on the conveyor belt. Method 2 is more economical and practical under the background of existing technology, also compared to the method 1, which provides a new idea and theoretical basis for the energy-saving control and intelligent development of the conveyor. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1024123X
Database :
Complementary Index
Journal :
Mathematical Problems in Engineering
Publication Type :
Academic Journal
Accession number :
147133177
Full Text :
https://doi.org/10.1155/2020/8816388