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Detection Method of Edge Position of Belt Conveyor Based on Complex Environment

Aiming at the problem of belt deviation caused by material deviation when the belt runs at high speed in complex environment, an improved 8-neighborhood seed filling algorithm is proposed to detect the edge position of belt conveyor in complex environment. The image is preprocessed to strengthen the edge of the conveyor belt, and then the binary image is processed by the improved 8-neighborhood seed filling algorithm to eliminate the interference factors and false edges in the image quickly, and then the edge feature points are found to find the edge position. This method can quickly detect the edge information of the conveyor belt in the complex environment such as day, night and rainy day, with less time consuming, good real-time, and more applicable scenarios, ensuring the continuous and efficient work of the conveyor belt.