Research and Practice of Industrial Sorting Technology Based on Machine Vision

Abstract

Based on machine vision, this paper first gives the overall design of the industrial robot sorting system and the composition of the experimental platform of each subsystem; then constructs the neural network classifier to recognize the target mechanical workpiece, and uses the mean shift iterative algorithm to track the moving target; finally, it expounds the sorting strategy of Huashu industrial robot and completes the sorting experiment.