基于机器视觉的黄酒灌装品质检测  

Detect the Filling Quality of Rice Wine Base on Machine Vision

作　　者：熊路[1] 蔡健荣[1] 孙力[1] 涂佳[2] 

机构地区：[1]江苏大学食品与生物工程学院,镇江212013 [2]江苏大学机械工程学院,镇江212013

出　　处：《食品工业》2013年第8期143-146,共4页The Food Industry

基　　金：国家科技支撑计划(2011BAD20B12)

摘　　要：根据我国黄酒企业的现状,设计了一种适于黄酒灌装生产线的机器视觉灌装品质检测方法,代替人工目测,能够提高生产自动化水平。在详细介绍了目前检测难点与需解决的重点问题的基础上,针对性提出了一套适合的照明解决方案,并根据生产实际提出了的相关实用性算法,检测成功率94.6%。该检测方法可完成灌装后黄酒瓶颈裂纹、液位及异物检测,并能识别不合格产品。A detection method for rice wine production line which based on machine vision on the basis of the situation of China＇s rice wine enterprises was presented. It can replace the artificial visual examination and improve the automatization level in production. After introducing difficulties of detection and the key problems that should to be solved, it showed a set of suitable lighting solutions and feasible algorithms with routine production. The success rate of detection in laboratory test was 94.6%. This method can satisfy the requisition of the quality monitoring of canned rice wine, and identify unqualified products.

关 键 词：黄酒检测 机器视觉 裂纹 液位 异物 

分 类 号：TS262.4[轻工技术与工程—发酵工程] TP391.41[轻工技术与工程—食品科学与工程]