Research Of Machine Vision In Target Recognition And Positioning Of Industrial Robots

The Industrial robot is an important part of the intelligent manufacturing industry.With the rise of the intelligent manufacturing industry,the research on industrial robot technology has become more and more eye-catching.In many technical applications of industrial robots,machine vision is undoubtedly an important component.Industrial robots equippted with machine vision can accurately achieve target recognition and positioning.Improving the accuracy of machine vision recognition and positioning,and making better use of machine vision to guide target capture are crucial research topics in related fields.There are many algorithms for machine vision recognition and localization,but due to the diversity of industrial conditions,no single algorithm can be applied to all industrial sites.Therefore,different algorithms should be chosen for different industrial application scenarios.Aiming at the circular workpieces commonly used in industry,this paper designs a target recognition and positioning system of the robot based on machine vision,and studies the method of accurately identifying and locating workpieces.According to the research object,this paper constructs the experimental system,including the hardware selection of the experimental system and the selection of programming and development tools,and completes the calibration of the camera and vision system,the detection and positioning of the workpiece target and the motion control of the robot.Finally,the whole system is given.Among them,in the object target detection and location,two target recognition and localization methods are studied,one is target recognition and localization based on Blob analysis,and the other is target recognition and localization based on edge processing.Target detection and location based on Blob analysis is a rough positioning and is fully available in robot systems where accuracy requirements are not particularly high.Based on the analysis of Blob and edge processing,the target detection and positioning based on edge processing is obtained.The target detection and positioning method based on edge processing has higher precision and improves the positioning performance of the robot system.This paper finally adopts this method to realize the target detection and positioning of the system.The experimental results show that the visual solution designed in this paper can accurately locate the circular workpiece in the industrial field,and the positioning accuracy is in the order of millimeters.It also has certain reference for similar industrial application scenarios.