Research On Global Visual Information Acquisition Method In Micro-assembly Space

The rapid development of micro-assembly robots has led to the continuous in-depth research in the field of micro-assembly,micro-assembly technology features with high precision,micro-assembly goals and complex movement,technical difficulties,and mass production.Simply relying on simple single-piece processing technology is difficult to meet the requirements of high precision,and the global visual information acquisition method of micro-assembly space is becoming more and more important in the application of micro-assembly.Aiming at the problem that microscopic fields in micro-assembly are far smaller than the operating space,how to quickly and accurately find micro-target parts in the microscopic field of micro-assembly and acquire the high-resolution global visual information of target parts.Based on the optical characteristics and imaging principle of the microscopy system,this article uses image analysis as a means to conduct in-depth research on the online search and switching control methods for the configuration parameters of the microscopic vision system.In order to achieve the level of step buy step automatic assembly of global visual information in the micro-assembly space.First of all,the system configuration of microscopic vision of the micro-assembly platform of this topic is introduced in detail,and the parameters of the microscope unit's vision unit,the characteristics of the microscope's zoom focus axis,the global space layout size,and the micro-assembly's target task are analyzed.The reasons and results of the selection of major visual tools such as microscope,CCD,and light source are described in detail.Secondly,aiming at the characteristics of the images under microscopic vision,the grayscale,image segmentation based on binarization,image histogram and other algorithms are used to preprocess the target image.The improved Hough circle transform is used to identify the target in the visual field,and the Hough circle transform is used to identify the contrast.The roundness is used to identify the target and a better recognition effect is obtained.Thirdly,aiming at the limit of microscopic vision,it is easy to lose the target,and it needs to repeatedly search for targets in the assembly area outside the screen field of view.This paper proposes an online search strategy for micro-assembly parts based on microscopic visual magnification switching.Using the scratch principle of "from never to have,from suspiciousness to confirmation",we studied how to use image preprocessing in the search process to distinguish between seamless search and target initial recognition,and studied related parameters.Finally,the research,analysis,and verification of relevant experiments are performed,and a global horizon with a hierarchical structure is constructed to obtain global visual information at different scales.The matching of macro and microscopic images based on SIFT features is verified.Image matching is used to confirm that a target is the same in different scale spatial images.The experimental results verify the feasibility of the global visual information acquisition technology.