Sharpness of Tire Angle Determination Based on Point Cloud Dataset

摘要

In the tire production line, it is usually necessary to trim the blank tires to finished tires according to the sharpness of tire angle. If the determination of tire angle is made by mistakes, it will cause the tire to be a waste for choosing a wrong scraper. In order to determine the sharpness of tire angle accurately, point cloud acquisition camera was used to collect the data of tires in the production line. Based on the point cloud data of tires, a framework to detect the sharpness of tire angle was proposed. In the proposed framework, a locating method using image processing algorithms such as morphological operation, connected component labeling and corner point detection was used to locate the tire angle. A ridge detection algorithm including surface normal vector and principal curvature computation was used to determine the type of tire angle. A number of point cloud datasets of different tires experimental results show that the proposed framework has higher accuracy and efficiency to determine whether the tire angle is sharp or round.