自动化与信息工程2025，Vol.46Issue(4)：43-50,8.DOI:10.12475/aie.20250406
面向螺纹精密测量的多模态机器视觉系统
Multimodal Machine Vision System for Precision Thread Measurement
摘要
Abstract
To address the issues of low accuracy,operational difficulty,and susceptibility to wear in manual thread geometric parameter measurement,a multimodal machine vision system for precision thread measurement is proposed.This system automates the measurement of geometric parameters such as pitch,thread angle,and major diameter.First,images of the thread workpiece's shank and head are captured using the macro camera and short-focal-length camera of a multimodal image acquisition device.Then,a dual-path measurement method is designed based on OpenCV geometric image algorithms and convolutional neural network to measure the thread's pitch,thread angle,and major diameter.Finally,an enhanced attention mechanism dynamically fuses the measurement results from the two paths,achieving a balance between accuracy and stability in the final results.Experimental results demonstrate that this system can significantly improve the accuracy,stability,and efficiency of thread geometric parameter measurement,possessing substantial practical engineering value and potential for widespread adoption.关键词
多模态机器视觉/螺纹精密测量/螺距/牙型角/外径/双链路测量/注意力机制Key words
multimodal machine vision/thread precision measurement/pitch/thread angle/major diameter/dual-path measurement/attention mechanism分类
信息技术与安全科学引用本文复制引用
邓芋蓝,林飞振,马婷婷,麦志颛,孙涛..面向螺纹精密测量的多模态机器视觉系统[J].自动化与信息工程,2025,46(4):43-50,8.基金项目
广东省市场监督管理局科技项目(2023CJ09) （2023CJ09）
广州市NQI-质量安全科技协同创新中心(2023B04J0407). （2023B04J0407）
