基于阴影检测的传送带烟丝堵料视觉检测系统设计

Design of visual detection system of tobacco blockage in conveyor belt based on shadow detection technology

为了有效解决卷烟生产过程中烟丝在传送带上发生堵料的问题,实现烟丝物料皮带传送的在线检测,开发了基于阴影检测的传送带烟丝堵料视觉检测系统.该系统使用CCD工业相机采集传送带上烟丝的图像信息,通过两次HSV颜色空间变换对H通道图像进行二值化处理,通过形态学操作和阴影面积进行滤波去噪,最后对去噪后的阴影图像面积进行归一化处理,结合经验阈值判断是否发生堵料.实践应用结果表明,该系统简单可靠,能够在线完成堵料检测,误检率小于10%,漏检率小于3%,大大减少了烟丝传送状态异常的停机时间,提高了卷烟企业的智能化水平和生产效率.

In order to effectively solve the problem of tobacco blocking on the conveyor belt in the process of cigarette production,realize the online detection of cut tobacco material belt transportation,a vision detection system of tobacco blockage in conveyor belt based on shadow detection was developed.Firstly,the CCD industrial camera of the system collected the image of tobacco leaf on the conveyor belt.Then binarized the H-channel image through two HSV color space transformations,and carried out morphological operation and shadow area filtering to remove noise.Finally,the area of the area of the shadow image without noise was normalized and the blocking was judged according to the experience threshold.The results showed that the system was simple and reliable,could complete blockage detection online,the false detection rate was less than 10%,and the missed detection rate was less than 3%.The method greatly reduced the downtime of abnormal tobacco conveying state and improved the automation level and the generation efficiency of tobacco factory.