烟草科技2019，Vol.52Issue(6)：105-111,7.
基于机器视觉的不规则烟包校对码垛系统
Irregular cigarette parcel stacking system coupled with machine vision-based parcel identification
摘要
Abstract
Aiming at the complexity of irregular cigarette parcel stacking in tobacco logistics, a system which combined cigarette parcel checking and stacking was designed. The system was composed of a parcel stacking system and a machine vision-based identification system. The identification system processed the image of irregular cigarette parcel to obtain target’s binary image, extracted the corner point features of cigarette parcel to conduct feature point matching, and rejected the erroneously matched points via modified RANSAC algorithm to identify cigarette parcels. Then cigarette parcels were stacked following the pre-layering algorithm of host computer. The results of on-site test showed that the accuracy of cigarette parcel matching was over 97%, the time for feature extraction was less than 360 ms, the total time for parcel matching was less than 1.6 s. This method provides a support for promoting the automation of tobacco logistics.关键词
烟草物流/机器视觉/工业机器人/不规则烟包/码垛系统Key words
Tobacco logistics/Machine vision/Industrial robot/Irregular cigarette parcel/Stacking system分类
信息技术与安全科学引用本文复制引用
ZHANG Yi,WANG Yanbo,FU Huasen,SHI Junfeng,CHEN Ni..基于机器视觉的不规则烟包校对码垛系统[J].烟草科技,2019,52(6):105-111,7.基金项目
重庆市基础科学与前沿技术研究项目"基于多源信息的工业机器人柔性装配研究"(cstc2017jcyjAX0212) （cstc2017jcyjAX0212）
重庆市教委科学技术研究项目"基于力感知的工业机器人柔性装配研究"(KJ1704100). （KJ1704100）
