Design of Bottle Cap Detection System Based on Image Processing
作者单位：Electrical Engineering DepartmentInner Mongolia Technical College of Mechanics and Electrics Hohhot Vocational College Inner Mongolia University
会议名称：《第32届中国控制与决策会议》
会议日期：2020年
学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 083201[工学-食品科学]
关 键 词：Image Detection Sharpening Process Noise Reduction Color Difference Matrix Subtraction
摘 要：In order to realize the automatic detection and screening of defective caps,this paper is based on machine vision to realize the automatic detection of caps on conveyor belts running at high *** method of deblurring enhancement of dynamic bottle cap image is researched to reduce the image blur caused by high-speed *** sharpening process based on the prewitt method is applied to the dynamic image,which effectively solves the problem of virtual image of bottle cap in high-speed operation,and greatly improves the accuracy and rapidity of system *** on the characteristics of the difference between the color of the bottle cap and the color of the conveyor belt,the collected color pictures are processed by gray binarization,filtering,shifting,and difference processing,and the result of whether the bottle cap to be tested is qualified is obtained,and the control function of the bottle cap is realized through the serial port interface *** experimental verification,the accuracy of the design for the judgment of bottle caps is 99.56%,and the number of caps can be detected and processed in about 800 per minute.