An Automated Intelligent Fault Detection System for Inspection of Sewer Pipes
スポンサーリンク
概要
- 論文の詳細を見る
Automation is an important issue in industry, particularly in inspection of underground facilities. This paper describes an intelligent system for automatically detecting faulty areas in a sewer pipe system based on images. The proposed system can detect various types of faults and be implemented in a real time system. The present paper describes system architecture and focuses on two modules of image preprocessing and detection of faulty areas. The proposed approach demonstrates high performance in detection and reduction of time and cost.
- 社団法人 電気学会の論文
著者
-
Ahrary Alireza
Fukuoka Industry Science And Technology Foundation
-
Ahrary Alireza
Department Of Informatics Nagasaki Institute Of Applied Science
-
Ahrary Alireza
FAIS-Robotics Development Support Office
-
Kawamura Yoshinori
Robotics Division, Yaskawa Electric Corp.
-
Ishikawa Masumi
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
-
Ahrary Alireza
Graduate School Of Information Production And Systems Waseda University
-
Ahrary Alireza
Information Production And Systems Research Center Waseda University
-
Ishikawa Masumi
Graduate School Of Life Science And Systems Engineering Kyushu Institute Of Technology
関連論文
- 9P-E-5 Using the Internal Rewards for a Mobile Robot to Survive and Perform a Task Effectively.(Room E International session)
- Fast Polar Harmonic Transforms
- A Fast Stereo Matching Algorithm for Sewer Inspection Robots
- An Automated Intelligent Fault Detection System for Inspection of Sewer Pipes
- 下水道管渠検査ロボットに関する研究開発成果の概要と今後の展開について (特集 戦略的基盤技術力強化事業の開発成果と今後の展開) -- (アクチュエータ関連技術)
- On-line Signature Matching Based on Hilbert Scanning Patterns
- Interscale Stein's Unbiased Risk Estimate and Intrascale Feature Patches Distance Constraint for Image Denoising
- 18-11 Online signature matching based on Hilbert-Scanning patterns
- 7-8 Shape Image Retrieval Based on Spherical Harmonics