烟草科技2019，Vol.52Issue(9)：109-114,6.
基于机器视觉的烟支接装质量在线检测系统
Online cigarette appearance inspection system based on machine vision
李捷 1陆海华 1王翔 1洪金华 1王盛 1申丽霞 1包俊 1肖贵慧1
作者信息
- 1. 浙江中烟工业有限责任公司宁波卷烟厂,浙江省宁波市奉化经济开发区葭浦西路2001号 315040
- 折叠
摘要
Abstract
In order to promote inspection accuracy and reduce labor intensity, an online cigarette appearance inspection system based on machine vision was designed. The system used a CCD camera to acquire and pre-process cigarette images, the appearance of cigarettes was analyzed by an established two-stage inspection model. At the first stage, a maximum contour area method was adopted to identify the cigarettes with obvious appearance defects; at the second stage, a template method was adopted to identify the cigarettes with minor defects, and then the unqualified cigarettes were rejected. Two hundred cigarettes of brand"Liqun(new)"were sampled and tested in Ningbo Cigarette Factory, the results showed that the two-stage model accurately identified all sampled cigarettes. It identified 50 qualified cigarettes and 49 unqualified cigarettes in the test set of 100 cigarettes, the inspection accuracy reached 98% . This technology provides a support for promoting the automation level of cigarette makers.关键词
卷接机组/机器视觉/图像处理/外观缺陷/在线检测Key words
Cigarette maker/Machine vision/Image processing/Appearance defect/Online inspection分类
轻工纺织引用本文复制引用
李捷,陆海华,王翔,洪金华,王盛,申丽霞,包俊,肖贵慧..基于机器视觉的烟支接装质量在线检测系统[J].烟草科技,2019,52(9):109-114,6.
