Title:
Methods, devices and computer-readable media for detecting changes to structures
Document Type and Number:
Japanese Patent JP6289564
Kind Code:
B2
Abstract:
A two channel convolutional neural network (CNN) is trained to compare first and second images of a structure (tunnel 110) where the images are obtained at first and second times separated by a time period (days, weeks, months etc) and to detect differences between the pair of images of the structure that are due to changes in the structure, changes include cracks or discolouration. The CNN is trained to distinguish between changes in the images that are due to structural changes, such as widening of a crack, and differences that are not due to a change to the structure, such as different lighting conditions. The neural network provides a value indicative of the detected change in the structure and outputs a change map detailing the changes. This approach may be used to remotely inspect tunnels using a trolley 118 with an array of cameras 114 attached.
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Inventors:
Björn Stenger
Ricardo Gerardi
Robert Sipora
Simon Stent
Ricardo Gerardi
Robert Sipora
Simon Stent
Application Number:
JP2016165029A
Publication Date:
March 07, 2018
Filing Date:
August 25, 2016
Export Citation:
Assignee:
Toshiba Corporation
International Classes:
G06T7/00
Domestic Patent References:
| JP2009133085A |
Other References:
利根川凛,外4名,“被災がれき量推定に向けた画像解析を利用した倒壊建造物の自動抽出”,FIT2015 第14回情報科学技術フォーラム 講演論文集 第4分冊,一般社団法人情報処理学会,2015年 8月24日,p.479-480
リッカルド ゲラルディ,外3名,“画像処理に基づくトンネル内壁の変化検出システム”,東芝レビュー,株式会社東芝,2015年 9月 1日,第70巻,第9号,p.12-15
リッカルド ゲラルディ,外3名,“画像処理に基づくトンネル内壁の変化検出システム”,東芝レビュー,株式会社東芝,2015年 9月 1日,第70巻,第9号,p.12-15
Attorney, Agent or Firm:
Kurata Masatoshi
Nobuhisa Nogawa
Takashi Mine
Naoki Kono
Tadashi Inoue
Ukai Ken
Nobuhisa Nogawa
Takashi Mine
Naoki Kono
Tadashi Inoue
Ukai Ken