工业机器人视觉分拣识别系统设计

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工业机器人视觉分拣识别系统设计
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Design of visual sorting and recognition system for industrialrobotAbstractIn the face of the continuous development of industrial automation technology,manyproduction processes are gradually applied to industrial robots.Through the combination ofintelligent industrial robots and intelligent camera systems,the vision system of industrialrobots is constructed,and intelligent machines are used to replace human eye organs tocomplete the production steps of observation and judgment,so that it can be applied to allkinds of high-risk students who are not suitable for human beings The productionenvironment and the field environment that cannot be accurately measured and judged byusing the human eye organ vision can avoid the deviation and error caused by the human eyevision detection,and can work stably for a long time,greatly improving the measurementaccuracy and speed;through non-contact measurement,the product damage caused by themanual detection operation can be reduced,ensuring the safety of the observer and reducingthe 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 isstudied.In the process of industrial production,the appropriate light source,camera,computerand other components are used.Gaussian filtering,mean filtering and other methods are usedto reduce the interference of information extracted from the image and improve the imageclarity.Using spot positioning,gray matching,contour matching and other positioningmethods to achieve the workpiece positioning function.Select suitable feature extractionalgorithm according to the workpiece image,optimize and improve the visual recognitionsystem in the current industrial robot sorting system,so that it can be better applied to theposition recognition of semiconductor chip cutting,the sorting of all kinds of workpiece,thedetection of printing or saw blade,the information reading of image such as workpiece serialnumber,the measurement of gap size of cremation plug,the detection of scratch defect on thesurface,sealing Visual inspection occasions required for installation inspection and otherlinks.Keywords:Machine Vision;Sorting System;Image Processing;Distinguish
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