基于机器视觉的苹果分拣系统研究

Research on Apple sorting system based on Machine Vision

苹果的分类分级出售是增收的有效方式,传统的人工苹果分拣分拣效率低、耗费时间长、精确度低下难以满足需求。本文利用PLC与机器视觉相结合设计了一种基于机器视觉的苹果分拣系统,通过图像采集和处理单元来获取与判别苹果的特征,最终将采集特征信号转换为数字信号,PLC依据图像处理结果来控制机器人抓取和归类苹果,能够进行快速、准确地分拣,提高了工作效率,增强了苹果出售额。

Apple's classified and classified sale is an effective way to in crease inco me,Traditio nal artificial apples have low efficie ncy,long time con sumpti on and low accuracy,which is difficult to meet dema nd In this paper,a combi nation of PLC and machine vision is used to design an apple sorting system based on machine vision.The features of the apple are obtained and discriminated by the image acquisition and processing unit.Fin ally,the collected feature signals are con verted into digital sign als.To control the robot to grab and classify apples,it can sort quickly and accurately,improve work efficiency,and in crease apple sales.