# IoT-powered remote sensing and handy real-time evaluation of strain imaging sheets installed on aged outdoor structures

https://mdr.nims.go.jp/datasets/f7453328-b003-4a86-b2ff-a4adbc1e9029

## File

- [spie_hzm-sem4.pdf](https://mdr.nims.go.jp/filesets/c8cc3a3e-03c5-4d75-8274-714750b66a29/download) ([Detail](https://mdr.nims.go.jp/filesets/c8cc3a3e-03c5-4d75-8274-714750b66a29.md))

## Id

f7453328-b003-4a86-b2ff-a4adbc1e9029

## Local identifier

identifier: mdr-schema-yaml/qz20sw70w

## Visibility

open_to_public

## State

published

## Created at

2022-11-15T08:15:05.054009Z

## Updated at

2022-11-15T08:15:05.235195Z

## Published at

2022-12-02T05:59:19.610958Z

## Doi

https://doi.org/10.48505/nims.3838

## First published url

https://doi.org/10.1117/12.2513829

## Date published

2019-04-01

## Recorded date published

2019-4-1

## Resource type

conference_presentation

## Manuscript type

na

## Collection



## Title

- title: IoT-powered remote sensing and handy real-time evaluation of strain imaging
    sheets installed on aged outdoor structures
  title_type: original

## Description

- description: 'Photonic crystal-based stress visualization film is promising for
    detecting age deterioration of large man-made structures and public infrastructures.
    However, as the number of the targets increases, it must be a big problem to prepare
    keeping a watch on all of them. Therefore, we propose two solutions: (1) solar
    battery-powered portable automated monitor stations to watch the color of the
    photonic coatings, and (2) an application of real-time image analysis on mobile
    phones for extracting the color change. The former assists us with efficient data
    collection and the latter helps non-expert collaborators to inspect them without
    using expensive spectroscopes. The portable monitor station consists of a micro
    computer connected with 3G mobile networks, a USB camera and a solar battery system
    installed in a water-proof box. Photographs of the stress visualization film are
    taken once every hour and, at all other times, the computer disconnects the camera
    in order to save the electricity. We placed four monitor stations in the shade
    of a bridge or a tree but they have run continuously for more than one year. The
    application displays a real-time image in which only stress-free area of the film
    is extracted. As a result, the region under stress and the background appear in
    white. This software runs on many mobile computers with built-in camera whose
    OS includes Android, iOS, Windows and Linux. This is possible due to the versatility
    of the computer vision library we used, OpenCV, which is popular in robotics and
    automatic car-driving.'
  description_type: abstract
  lang: und

## Creator

- name: TODOROKI, Shin-ichi
  role: author
  orcid: https://orcid.org/0000-0003-3986-1900
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: FUDOUZI, Hiroshi
  role: author
  orcid: https://orcid.org/0000-0003-1442-4667
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: TSUCHIYA, Koichi
  role: author
  orcid: https://orcid.org/0000-0003-0267-2727
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: National Institute for Materials Science
ror: https://ror.org/026v1ze26

## Managing organization

organization: 0 ~ National Institute for Materials Science

## Keyword

- subject: structural color
  schema: not_defined
- subject: bring your own device
  schema: not_defined
- subject: computer vision
  schema: not_defined
- subject: internet of things
  schema: not_defined
- subject: outdoor monitoring system
  schema: not_defined
- subject: photonic crystal
  schema: not_defined
- subject: real time image analysis
  schema: not_defined
- subject: strain sensor
  schema: not_defined

## Rights

- description: Creative Commons BY-NC Attribution-NonCommercial 4.0 International
  identifier: https://creativecommons.org/licenses/by-nc/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal



## Conference



## Related item

- title: IoT-powered remote sensing system and portable tools for real-time evaluation
    of strain imaging sheets affixed to old outdoor structures
  identifier: https://doi.org/10.1117/12.2513829
  identifier_type: DOI
  relation_type: is_supplement_to
  related_item_type: dataset

## Funding



## Instrument



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## Measurement method



## Specimen



## Chemical composition



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## Fileset

- id: c8cc3a3e-03c5-4d75-8274-714750b66a29
  filename: spie_hzm-sem4.pdf
  content_type: application/pdf
  size: 4785181
  md5: 237cc85c264ba12be66d71f5fc60da35

## Thumbnail

fileset_id: c8cc3a3e-03c5-4d75-8274-714750b66a29
filename: spie_hzm-sem4.pdf