Workpiece Recognition and Positioning Using Industrial Robotic Arm Assisted Machine Vision
Traditional industrial robot systems lack perception and judgment abilities,making it difficult to adapt to changes in target types and positions,while modern industry requires the production of products of different types and specifications.For this purpose,a robotic arm assisted machine vision system is proposed based on the background of multi variety and small batch production of parts.This system can achieve im-age acquisition and preprocessing of workpieces,and recognize and locate different types of workpieces through improved Canny contour extraction algorithm and template matching based on Hausdorff distance.Finally,through experimental verification,the positioning accuracy of the system is within 0.35 mm,which basically meets the requirements for grasping,handling,and testing target workpieces of small batch produc-tion,different shapes,and without fixed fixtures in actual production.