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Research Of Laser Film Correction System Based On Machine Vision

Posted on:2017-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:L WeiFull Text:PDF
GTID:2348330509963541Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
Laser film surface is smooth, color is changable, with security, wear, environmental protection and other characteristics, it is widely used in tobacco and alcohol, food, as well as advertising and other packaging. In the process of production, Laser film has problems such as strip running deviation, longitudinal tearing and edge wear, etc. In those problems, due to smaller diameter, earlier period of the irregular volume, no coordination between rolling and winding roller, the strip deviation is the most common problems. When facing with running deviation problems, if the rectifying is not timely dealt with, it will inevitably cause problems such as waste of laser film, bad quality of products and low efficiency of products.For running partial failure in the process of laser film slitting, a new idea of rectification based on machine vision is introduced. Firstly. Use CCD camera to get laser film images which have geometric, then, apply the improved Canny algorithm to the edge detection of images after pretreatment of images. Secondly, use the Hough transform to extract the characteristic straight line, compared with the reference feature line, get the deviation value.The microprocessor chooses switch algorithm of Fuzzy-PID, transmits the control parameters to the actuators, and then finishes correcting the running deviation of laser film. It has fast response speed and strong ability to eliminate steady state error.Doing the experimen for deviation detection and correction control of laser film. Using machine vision technology, experiments show that the method can detect the accurate deviation of the laser film. This system has high detection precision, rectification control is very stable and easy to use, it has certain application value.
Keywords/Search Tags:Detection of deviation, Canny algorithm, Machine vision, Fuzzy-PID control arithmetic
PDF Full Text Request
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