Drill Pipe Counting Method Based on Scale Space and Siamese Network

Abstract

Aiming at the problem that the traditional video-based drilling pipe counting method has low accuracy and is vulnerable to interference in the process of positioning and tracking targets, a drilling pipe counting method based on scale space and Siamese network was proposed: the shape features of the drilling machine video image were calculated by the improved scale space algorithm, the initial position of the drilling machine chuck was determined by feature matching, the chuck was tracked in real time according to the improved Siamese network algorithm and its movement trajectory was recorded, moreover, the number of drilling pipes was calculated after locally weighted regression and hierarchical classification of the chuck movement trajectory using counting rules. The test results showed that the improved method could stably track the target under the interference of bright light and realize the accurate counting of drilling pipe.