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作 者:吴陈陈 王永强[1] 周聪玲[1] WU Chen-chen;WANG Yong-qiang;ZHOU Cong-ling(College of Mechanical Engineering,Tianjin University of Science&Technology,Tianjin 300222,China)
出 处:《食品与机械》2021年第3期131-136,167,共7页Food and Machinery
摘 要:设计了基于机器视觉技术的自动化在线筛选系统。系统硬件装置中的梳理机构将输送带上的青豆产品有序排列,使其呈瀑布式单列自由落体运动,下落过程中由上位计算机控制两台高低错位安装的线阵CCD从前后两个方向分别获取每粒青豆的单面图像。软件系统可实时处理采集到的青豆图像,通过算法提取青豆黑色像素的占比并进行圆形度分析,可分别提取出青豆的颜色特征和形状特征,并将检测出的残次品青豆位置编码信息实时发送至下位单片机,由单片机控制多通道高压气流喷嘴完成剔除动作,实现残次品青豆的在线筛选和剔除。结果表明,该系统的检测效率高且准确率可达98%以上,可有效满足青豆生产自动化、智能化的需求。To meet the needs of screening and rejecting defective products in the production and processing of green beans,an automated online screening system was designed based on the machine vision technology.The combing mechanism in the hardware device of the system arranged the green bean products on the conveyor belt in an orderly manner,making it a waterfall-style single-row free-fall motion.In the process of falling,the upper computer controlled two linear arrays of CCDs installed in high and low positions to obtain single-sided images of each green bean from the front and rear directions.The software system could process the collected green bean images in real-time,extract the proportion of black pixels of green beans and analyze the circularity through algorithms,extract the color and shape features of green beans,and encode the positions of defective green beans.And then the detected information was sent to the lower single-chip microcomputer in real-time,and the single-chip microcomputer controlled the multi-channel high-pressure air nozzle to complete the removal action.Thereafter,the online screening and removal of defective green beans were realized.The experimental results showed that the detection efficiency of the system was high,and the detection accuracy could reach more than 98%,which could effectively meet the needs of automatic and intelligent production of green beans,showing great value of promotion and application.
关 键 词:青豆 残次品 机器视觉 图像处理 缺陷检测 在线筛选
分 类 号:TS203[轻工技术与工程—食品科学] TP391.41[轻工技术与工程—食品科学与工程]
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