机电工程技术2024，Vol.53Issue(2)：217-220,4.DOI:10.3969/j.issn.1009-9492.2024.02.047
基于计算机视觉的机械臂分拣系统设计
Design of Mechanical Arm Sorting System Based on Computer Vision
摘要
Abstract
Before launching different products,it is necessary to sort them to ensure that there are no defects and sell them at a better price.However,manual inspection is costly and requires a significant amount of labor and time,so many companies tend to use modern technology to implement product inspection processes.A method based on the association between robots and computer vision systems is proposed.A robotic arm with 4 degrees of freedom is designed using SolidWorks software.The robotic arm places cans onto a conveyor belt and then transfers them to the inspection room.The product image is captured by a camera connected to the computer,and processed by the LabVIEW program.The model is simulated using MATLAB,and Arduino microcontroller is used to control the process of prototype execution.When a defective product passes through the conveyor belt,the system will change the path and remove the product from the production line.The simulation and experimental results demonstrate that the prototype can grab cans and ultimately detect them,taking defective cans out of the production line,96%accuracy has been achieved.The use of the technology in the product sorting process will improve productivity and quality in a short period of time.关键词
机械臂/计算机视觉/物体检测Key words
mechanical arm/computer vision/object detection分类
信息技术与安全科学引用本文复制引用
崔亚飞,张松亚..基于计算机视觉的机械臂分拣系统设计[J].机电工程技术,2024,53(2):217-220,4.基金项目
湖南省职业教育教学改革研究项目(ZJGB2022584) （ZJGB2022584）
