| Current manufacturing present barriers,intelligent,echelon,the trend of multi-polarization,in a competitive environment,enterprise want to survive in the competition and maintain a long-term development,first consider the manufacturing cost,production efficiency and product quality problem,only have lower costs,improve efficiency,high product quality,to adapt to the fierce competition in the market.At present,as the artificial production cost increase gradually.cause there is a great demand for automation equipment,automated manufacturing can effectively reduce the production cycle,improve the quality of production,and can replace the complicated and tedious process,reduce the labor costs,improve production efficiency.Machine vision image information captured by the camera and for processing,imitate human vision image analysis function,the analysis of the results sent to the robot control center,guide the robot to complete assigned tasks.An enterprise of guangdong automobile stamping workshop production line automation upgrades in the application of machine vision technology in this paper,developed a new machine vision image processing algorithm,developed independently complete a set of six axis of industrial robot based on the library card machine vision guidance system.Six axis with KUKA KR.180.R2500 industrial robot as the experiment platform,of six axis industrial robots and machine vision technology,developed a set of library card based on the technology of machine six axis industrial robot guidance control system,to control guide KUKA robot complete handling work.such as production line to upgrade the production line of automatic upgrade.In terms of image processing,this topic project based on the actual application situation,through the series of experimental comparison of different algorithms,the part with,it is concluded that for a particular target image processing algorithms.In terms of communication.detailed study KUKA six axis of the industrial robot controller communication interface and communication protocol,designed for the data communication process of the industrial robot,can real-time implementation of a machine up and interaction.Article six axis industrial robot for machine vision guided KUKA adaptive grab target design process,the system and establish the platform of hardware and software.Select subjects for four kinds of different shape,size of the chuck,work piece,respectively five-pointed star,is a triangle,square chuck artifacts and inegular sector arrtifacts(both for steel materials),posture recognition and adaptive grab experiment was canried out,the results show that the proposed in this paper based on machine visioin technology of KUKA six axis industrial robots can grab the target artifact quickly and efficiently,posture recognition error is small,satisfying the requirements of this topic of the project and this topic enterprise project requirements,at the same time can also meet the expectations of robot operating work piece during industrial production requirements. |