工业视觉技术融合下的分拣机器人目标识别与定位系统研究  

Research on Target Recognition and Positioning System for Sorting Robots under the Integration of Industrial Vision Technology

作　　者：姚翠萍[1] YAO Cui-ping(Kunshan Dengyun College of Science and Technology,Suzhou Jiangsu 215300,China)

机构地区：[1]昆山登云科技职业学院,江苏苏州215300

出　　处：《机电产品开发与创新》2024年第6期83-86,共4页Development & Innovation of Machinery & Electrical Products

摘　　要：伴随着工业视觉技术在分拣机器人领域中的应用日益广泛,为实现目标物体的准确识别与定位提供了重要的技术支撑。本文描述了传统分拣过程中存在的问题,使用STM32 F407VET6作为数据感知层主芯片,结合Opencv图像预处理技术开发了一款分拣机器人目标识别与定位系统,采用Canny边缘检测法明确了机器人自动定位步骤。实验检测结果表明,该系统能够快速准确地识别目标物体,实现精准自动定位,提高分拣过程的生产效率,为智能制造和自动化生产提供一定的技术支持。With the increasingly widespread application of industrial vision technology in the field of sorting robots,it provides important technical support for achieving accurate recognition and positioning of target objects.This article describes the problems that exist in the traditional sorting process.Using STM32 F407VET6 as the main chip of the data perception layer and combined with Opencv image preprocessing technology,a sorting robot target recognition and positioning system was developed.The Canny edge detection method was used to clarify the automatic positioning steps of the robot.The experimental results show that the system can quickly and accurately identify target objects,achieve precise automatic positioning,improve the production efficiency of the sorting process,and provide certain technical support for intelligent manufacturing and automated production.

关 键 词：工业视觉计算 分拣 机器人 OPENCV 定位 Canny边缘检测法 

分 类 号：TP298.26[自动化与计算机技术—检测技术与自动化装置]