A. Neftissov, Assiya Sarinova, Ilyas Kazambaev, L. Kirichenko, S. Bronin
{"title":"Development of an Intelligent Monitoring System Based on the Use of Fiber-Optic Sensors and Deep Learning","authors":"A. Neftissov, Assiya Sarinova, Ilyas Kazambaev, L. Kirichenko, S. Bronin","doi":"10.1109/SIST58284.2023.10223520","DOIUrl":null,"url":null,"abstract":"Fiber-optic sensors are commonly used in modern monitoring systems. This article discusses a monitoring system using a fiber-optic sensor built using a camera. As the study showed, the newly proposed method requires a machine learning system to determine the displacement of stone slabs accurately. However, this system needs to have higher accuracy in determining the distance to the damage. This work aims to develop a deep learning system that considers external disturbances affecting a light spot's image.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIST58284.2023.10223520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fiber-optic sensors are commonly used in modern monitoring systems. This article discusses a monitoring system using a fiber-optic sensor built using a camera. As the study showed, the newly proposed method requires a machine learning system to determine the displacement of stone slabs accurately. However, this system needs to have higher accuracy in determining the distance to the damage. This work aims to develop a deep learning system that considers external disturbances affecting a light spot's image.