木材科学与技术2025，Vol.39Issue(4)：98-104,7.DOI:10.12326/j.2096-9694.2025025
基于机器视觉的锯材分拣系统设计与试验
Design and Experiment of the Sawn Timber Sorting System Based on Machine Vision
摘要
Abstract
In order to achieve automated and efficient sorting of sawn timber with various surface conditions,a sawn timber automatic sorting system integrated with machine vision is designed.The entire system is mainly composed of modules including sawn timber conveyance,sawn timber automatic flipping,sawn timber inspection,and automatic sorting.The mechanical structure comprises chain conveying and a multi-stage automatic sorting,while the control system features sawn timber machine vision inspection and overall motion control functions.The control system adopts high-performance image acquisition and processing of sawn timber to identify surface defects such as live knots,dead knots,and wormholes.Based on the image analysis results,it controls the sorting motion system to achieve real-time grading and sorting of sawn timber.The prototype conducted real-time detection and sorting of defects such as living knot,dead knot,and insect hole on both sides of sawn timber.The recognition rates were 86.67%,86.67%,and 80.00%respectively,which verified the feasibility of the sorting system operation.关键词
锯材/分拣/机器视觉/缺陷检测/实时控制Key words
sawn timber/sorting/machine vision/defect detection/real-time control分类
农业科技引用本文复制引用
李海芸,董楸煌,叶大鹏..基于机器视觉的锯材分拣系统设计与试验[J].木材科学与技术,2025,39(4):98-104,7.基金项目
福建省中青年教师教育科研项目(科技类)"基于机器视觉的锯材非结构特征识别及锯、铣加工装备关键技术研究"(JAT231246). （科技类）
