robot
Abstract
In the face of the continuous development of industrial automation technology, many
production processes are gradually applied to industrial robots. Through the combination of
intelligent industrial robots and intelligent camera systems, the vision system of industrial
robots is constructed, and intelligent machines are used to replace human eye organs to
complete the production steps of observation and judgment, so that it can be applied to all
kinds of high-risk students who are not suitable for human beings The production
environment and the field environment that cannot be accurately measured and judged by
using the human eye organ vision can avoid the deviation and error caused by the human eye
vision detection, and can work stably for a long time, greatly improving the measurement
accuracy and speed; through non-contact measurement, the product damage caused by the
manual detection operation can be reduced, ensuring the safety of the observer and reducing
the waste products Rate and labor cost, improve production efficiency and system reliability,
and produce greater economic benefits.
In this paper, the visual recognition system in the sorting system of industrial robot is
studied. In the process of industrial production, the appropriate light source, camera, computer
and other components are used. Gaussian filtering, mean filtering and other methods are used
to reduce the interference of information extracted from the image and improve the image
clarity. Using spot positioning, gray matching, contour matching and other positioning
methods to achieve the workpiece positioning function. Select suitable feature extraction
algorithm according to the workpiece image, optimize and improve the visual recognition
system in the current industrial robot sorting system, so that it can be better applied to the
position recognition of semiconductor chip cutting, the sorting of all kinds of workpiece, the
detection of printing or saw blade, the information reading of image such as workpiece serial
number, the measurement of gap size of cremation plug, the detection of scratch defect on the
surface, sealing Visual inspection occasions required for installation inspection and other
links.
Keywords: Machine Vision; Sorting System; Image Processing; Distinguish
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