Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ECEOC > 2022 > We4B > We4B.2
  • European Conference on Optical Communication (ECOC) 2022
  • Technical Digest Series (Optica Publishing Group, 2022),
  • paper We4B.2

Research and Experiment on AI-based Co-cable and Co-trench Optical Fibre Detection

Yunbo Li, Chuan Li, Zhe Liu, Tao Zhang, Sheng Liu, Dawei Ge, Yuren You, Jibiao Zhang, Dong Wang, Yang Zhao, Dechao Zhang, and Han Li

Not Accessible

Your library or personal account may give you access

Abstract

A novel AI-based co-cable and co-trench optical fibre detection method is proposed based on twin neural network and extraction of multimodal features, e.g. fibre static, dynamic, and site features. The detection accuracies of the solution in the test and field trial network are over 90%.

© 2022 The Author(s)

PDF Article
More Like This
Employing Fiber Sensing and On-Premise AI Solutions for Cable Safety Protection over Telecom Infrastructure

Ting Wang, Ming-Fang Huang, Shaobo Han, and Chaitanya Narisetty
Th3G.1 Optical Fiber Communication Conference (OFC) 2022

AI-driven Digital Twin for Optical Networks

Qunbi Zhuge
Mo3A.1 European Conference and Exhibition on Optical Communication (ECOC) 2022

Multicore fibre in cable and transmission trials

Hitoshi Takeshita
Th1D.5 European Conference and Exhibition on Optical Communication (ECOC) 2022

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use