科技创新与应用2025，Vol.15Issue(18)：33-36,4.DOI:10.19981/j.CN23-1581/G3.2025.18.007
基于工业视觉的汽车钣金件智能检测装备研发
摘要
Abstract
With the rapid development of the automotive industry,people's requirements for the quality of automotive sheet metal parts are becoming increasingly high.Traditional manual detection methods are not only inefficient,but also susceptible to human interference,leading to unstable detection results.In order to improve detection efficiency and accuracy,this study developed an intelligent detection device for automotive sheet metal parts based on industrial vision.This device uses high-precision industrial cameras to capture images of sheet metal parts.Advanced image processing algorithms are used to preprocess,extract features,and recognize defects in the images.Machine learning technology is used to intelligently analyze the detection results,achieving fast and accurate recognition of surface defects on sheet metal parts.The practicality and reliability of the device have been verified through actual production line testing.This research provides an effective solution for the automated and intelligent inspection of automobile sheet metal parts.关键词
工业视觉/智能检测/汽车钣金件/图像处理/机器学习Key words
industrial vision/intelligent inspection/automotive sheet metal parts/image processing/machine learning分类
信息技术与安全科学引用本文复制引用
龙才荣,李东蒙,黄朝辉,朱瑞丹..基于工业视觉的汽车钣金件智能检测装备研发[J].科技创新与应用,2025,15(18):33-36,4.基金项目
2024年度柳州职业技术大学校级科研项目(2024KB14) （2024KB14）
2020年度广西高校中青年教师基础能力提升项目(2020KY31007) （2020KY31007）
2024年度柳州职业技术大学校级科研项目(2024KB16) （2024KB16）
