Abstract
Conveyor is mainly used for ore collection and transportation, and it plays an important role in mining operations. Due to the harsh mining environment, the conveyor belt often has longitudinal tear. If the tears can not be found in time, a safety accident will occur and cause significant economic losses. In order to accurately and efficiently detect the longitudinal tearing of the conveyor belt, this paper proposes a computer vision detection algorithm based on multiple sets of lasers. This algorithm can accurately segment the laser stripe area through image processing and analysis, and accurately locate the torn area of the conveyor belt. And this method supports users to customize the alarm level of tear detection, which meets different industrial production scenarios. The experimental results show that the method proposed in this paper can accurately and quickly detect the longitudinal tearing defect of the conveyor belt.
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