The Application Of Machine Vision In Grasping Technology Of Industrial Robot

Machine vision technology and information technology, is extremely important in terms of strengthening industrial competitiveness. In addition, the industrial robot with visual ability is more efficiency than the traditional industrial robots in the production, at the same time, the problem of production safety will be improved. Therefore, the study of industrial robot vision technology has very important significance.The application of method of online teaching and off-line programming of workpiece positioning, need to design, manufacture and installation of high-precision workpiece positioning device, especially for complex contours of the workpiece positioning, positioning device design complexity, not only reduces the efficiency of positioning crawl, increased application costs. Meanwhile, when the workpiece model changes, we need to re-design and manufacture of positioning means, limiting the production transition period. Vision-based technology for online identification and location of the workpiece, using the visual inspection and image processing method does not require the installation of high-precision workpiece positioning device, it can quickly and accurately obtain position information of the workpiece, and robots to achieve the positioning of the workpiece.The image processing is a key aspect which is based on the visual identification and location, including image preprocessing, contour detection, and other steps to obtain the position vector. Existing contour detection method, often get isolated, small pieces of non-target continuous contour, interfere with proper detection of the workpiece contour, reducing the detection efficiency and accuracy. In this paper, with the actual production demand, for the realization of the use of robot vision technology acquisition target artifact vector data, comparative analysis of existing image processing, contour detection, minimum bounding rectangle detection methods, and to improve and propose a more accurate and efficient workpiece Vector the data acquisition method.Based on the completed image acquisition, image processing, vector data acquisition, coordinate conversion and the package and sending for the relevant tests, the test results are objective analysis. In this paper, the method is accurate and efficient, high reliability, practical value and so on.