Study On A Technique Of Unloading Brick Robot Intelligent Grasp Based On Monocular Vision

With the rapid development of social economy,brick and tile industry there is a demand for production and backward machinery manufacturing equipment between the contradictions.Brick in the brick kiln in the firing process due to the impact of high temperature air flow occurs a certain degree of deviation,resulting in the traditional automation equipment can not accurately grip the brick,seriously hampered the production efficiency of the brick factory.In this paper,the industrial robot with machine vision is used to intelligently grab the bricks,which is more intelligent than the traditional industrial robots.The production efficiency of the products can be greatly improved and the safety of the staff at the production site is improved.The Therefore,the industrial vision of industrial robots will be applied to the brick and tile industry,to achieve the automation of the industry to improve the production efficiency of brick to meet the needs of society.Industrial robots with machine vision are like both eyes and people,as well as intelligent,compared to traditional industrial robots with greater adaptability,and expand their range of applications in various industries.In this paper,the research on machine vision technology of industrial robots is carried out.Based on the actual production situation of brick factory,a platform for unloading brick robot based on monocular vision is designed and built.The system is designed with self-designed four-degree-of-freedom industrial robot,Equipped with matching hardware equipment,and designed the corresponding brick stack image processing program and visual positioning system program,to achieve the brick unloading platform on the accurate,fast identification and crawling function.To achieve the successful combination of industrial robots and machine vision technology,we must solve the image processing,target object detection and image coordinate system and industrial robot coordinate system between the conversion and other issues.Based on the machine vision robot in the process of identifying and positioning the target brick stack,the focus is to design a brick stack image processing process,the specific completion of image preprocessing,feature extraction,vector data acquisition and other part of the work.In this paper,the actual situation of brick processing is analyzed,and the advantages and disadvantages of each image processing method are compared and analyzed in some traditional methods,and the more accurate and efficient image processing method is selected.According to the experimental results of the final intelligent grasping the brick stack,it is verified that the image processing method can accurately and quickly obtain the clear image of the target pile,and realize the accurate identification and positioning of the target brick.Finally,a concrete platform based on vision is built,and the actual brick pile crawling test is carried out to prove the feasibility of the proposed scheme.The research results of this paper are of great practical value and provide reference for other automation equipment with machine vision system.