一种基于机器视觉的工业机器人分拣系统

针对传统的人工分拣作业效率低、质量难以保证的问题,提出了一种基于机器视觉的工业机器人分拣系统,该系统利用图形分割和图像匹配相结合的算法,克服了传统视觉算法受光照和噪声影响大的问题,实验系统通过采集棋子及场景图像并进行图像处理,提取黑白棋子的坐标以及分类信息,实施坐标转换,维护分拣棋子的运动踪迹,最终控制机器人实现分拣棋子的动作。实验结果表明,该控制系统软硬件设计正确,分拣成功率高,且易于实施。

Sorting Technology Based on Industrial Robot of Machine Vision

A sorting system based on industrial robot of machine vision is proposed to solve the low efficiency and poor quality control of the traditional manual sorting operation.The system combines the image segmentation with image matching to overcome the disadvantages that traditional visual algorithm is affected by light and noise.The experiment system collects chess pieces and scene image and carries on the image processing,extracts the coordinates and classification of the black and white chess pieces,implements the coordinate conversion,maintains the movement trail of the sorting chess pieces,and controls the movement of the robot to realize the sorting action.The experimental results show that the hardware and software design of the control system is correct,and the success rate of the sorting is high with easy implementation.