基于机器视觉的木板拉条系统研究  

Research on Slitting System of Wood Board Based on Machine Vision

作　　者：周令 张振荣[1] 彭建盛[2] 杨程钧 王涛 Zhou Ling;Zhang Zhenrong;Peng Jiansheng;Yang Chengjun;Wang Tao(School of Computer,Electronics and Information,Guangxi University,Nanning,Guangxi 530004,China;School of Artificial Intelligence and Manufacturing,Hechi University,Yizhou,Guangxi 546303,China;Shenzhen Raindi Technology Co.,Ltd.,Shenzhen,Guangdong 518000,China)

机构地区：[1]广西大学计算机与电子信息学院,广西南宁530004 [2]河池学院人工智能与制造学院,广西宜州546303 [3]深圳雨滴科技有限公司,广东深圳518000

出　　处：《广西林业科学》2022年第6期762-767,共6页Guangxi Forestry Science

基　　金：广西自然科学基金项目(2018GXNSFAA281164)。

摘　　要：为有效提高拉条机的自动化程度,采用机器视觉技术改造多片锯拉条机,设计出一款基于机器视觉的智能化木板拉条机。通过摄像头采集待加工的木板图片;使用OpenCV对木板图片进行预处理,提取木板边缘,计算木板可裁切的宽度;通过嵌入式设备送入相应的裁切通道拉条。结果表明,人工操作和基于机器视觉的拉条机每5 h的平均裁板数分别为2735和3378块,平均正确拉条率分别为89.36%和99.95%。基于机器视觉的拉条机速度与出材率均高于人工操作。In order to effectively improve automation of slitting machine,multi-blade saw slitting machine was transformed with machine vision technology,and intelligent wood board slitting machine based on machine vi⁃sion was designed.Pictures of wood boards were collected by cameras,and wood board edges were extracted af⁃ter preprocessing wood board images by OpenCV.After calculating cutting widths of wood boards,wood boards were sent to corresponding slitting channels through embedded device.Results showed that average numbers of manual operation and slitting machine based on machine vision per 5 hours were 2735 and 3378,respectively,and correct slitting rates were 89.36%and 99.95%.Speed of slitting machine based on machine vision was higher than that of manual operation.

关 键 词：机器视觉 边缘检测 木板拉条 

分 类 号：X123[环境科学与工程—环境科学]