Fiber optic connector end-face defect detection based on machine vision

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Optical Fiber Technology Pub Date : 2025-05-01 Epub Date: 2025-02-09 DOI:10.1016/j.yofte.2025.104158

Longbing Yang

{"title":"Fiber optic connector end-face defect detection based on machine vision","authors":"Longbing Yang","doi":"10.1016/j.yofte.2025.104158","DOIUrl":null,"url":null,"abstract":"<div><div>As an important signal connector in communication data transmission, the performance of optical fiber is closely related to the reliability of data transmission. Currently, most manufacturers still use manual visual observation under a traditional microscope for fiber end-face defect detection, which suffers from low precision, low efficiency, and poor consistency. This study provides a machine vision-based method for identifying defects in fiber optic connector end face called the POL detection method. The method can be used to detect defects such as oil, dust, impurities, dents, and scratches on fiber optic end faces. The experimental results show that the POL detection method has a combined detection accuracy of at least 97.14%. The present technology indicates specific methods for realizing image acquisition, image preprocessing, feature extraction, and defect localization. Compared with the existing traditional manual visual inspection, the accuracy of the method is improved by about 20% and the efficiency is improved by about 6 to 7 times.</div></div>","PeriodicalId":19663,"journal":{"name":"Optical Fiber Technology","volume":"91 ","pages":"Article 104158"},"PeriodicalIF":2.7000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Fiber Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1068520025000331","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

As an important signal connector in communication data transmission, the performance of optical fiber is closely related to the reliability of data transmission. Currently, most manufacturers still use manual visual observation under a traditional microscope for fiber end-face defect detection, which suffers from low precision, low efficiency, and poor consistency. This study provides a machine vision-based method for identifying defects in fiber optic connector end face called the POL detection method. The method can be used to detect defects such as oil, dust, impurities, dents, and scratches on fiber optic end faces. The experimental results show that the POL detection method has a combined detection accuracy of at least 97.14%. The present technology indicates specific methods for realizing image acquisition, image preprocessing, feature extraction, and defect localization. Compared with the existing traditional manual visual inspection, the accuracy of the method is improved by about 20% and the efficiency is improved by about 6 to 7 times.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于机器视觉的光纤连接器端面缺陷检测

光纤作为通信数据传输中的重要信号连接器，其性能好坏与数据传输的可靠性密切相关。目前，大多数厂家仍采用传统显微镜下人工目测的方法进行光纤端面缺陷检测，精度低、效率低、一致性差。本研究提供了一种基于机器视觉的光纤连接器端面缺陷识别方法——POL检测方法。该方法可用于检测光纤端面上的油污、灰尘、杂质、凹痕、划痕等缺陷。实验结果表明，该POL检测方法的综合检测准确率至少为97.14%。本技术指明了实现图像采集、图像预处理、特征提取和缺陷定位的具体方法。与现有的传统人工目视检测相比，该方法的准确率提高了约20%，效率提高了约6 ~ 7倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Optical Fiber Technology 工程技术-电信学

CiteScore

4.80

自引率

11.10%

发文量

327

审稿时长

63 days

期刊介绍： Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews. Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.