基于机器视觉的刹车盘工件上下料系统
Machine Vision based Loading and Unloading System for Brake Disc Workpieces
谢延楠 1刘兴德2
作者信息
- 1. 吉林化工学院信息与控制工程学院,吉林吉林 132022
- 2. 吉林化工学院机电工程学院,吉林吉林 132022
- 折叠
摘要
在传统刹车盘的生产过程中,几乎都采用人力进行加工机床上下料.这种作业方式存在搬运效率低、生产成本高、无法满足高效生产的问题,提出一种基于机器视觉的刹车盘工件的上下料系统,将视觉与工业机器人相结合,搭建的系统能够准确地识别出工件的位姿,并将位姿结果转换到机器人的坐标系下,从而引导机器人准确抓取工件.经实验证明,该系统具有自主灵活性,且能够顺利完成刹车盘的上下料.
Abstract
In the production process of traditional brake discs,manual labor is almost always used for loading and unloading the machine tools.This operation method has the problems of low handling efficiency,high production cost,and cannot meet the requirements of efficient production.A loading and unloading system for brake disc workpieces based on machine vision was proposed.It combines vision with industrial robots and builds a system that can accurately identify the pose of the workpiece was obtained,and the pose result was converted into the coordinate system of the robot,thereby guiding the robot to accurately grasp the workpiece.Experiments had proven that the system has autonomous flexibility and can successfully complete the loading and unloading of brake discs.
关键词
机器视觉/工业机器人/识别/抓取Key words
machine vision/industrial robot/distinguish/grab引用本文复制引用
出版年
2024
NETL
NSTL
万方数据