# IoT-powered remote sensing system and portable tools for real-time evaluation of strain imaging sheets affixed to old outdoor structures

https://mdr.nims.go.jp/datasets/3622f8e4-8f8b-4ac6-b1ba-074a8c06607e

## Files

- [Todoroki19SmartNDE.pdf](https://mdr.nims.go.jp/filesets/b0276c79-becc-418c-bcc7-49ebb1634e93/download) ([Detail](https://mdr.nims.go.jp/filesets/b0276c79-becc-418c-bcc7-49ebb1634e93.md))

## Id

3622f8e4-8f8b-4ac6-b1ba-074a8c06607e

## Local identifier

identifier: mdr-schema-yaml/1c18dg43r

## Visibility

open_to_public

## State

published

## Created at

2021-08-05T16:20:11.442789Z

## Updated at

2022-10-02T16:30:39.741652Z

## Published at

2021-08-13T18:55:36.576103Z

## Doi



## First published url

https://doi.org/10.1117/12.2513829

## Date published

2019-04-01

## Recorded date published

2019-4-1

## Resource type

journal_article

## Manuscript type

na

## Collection



## Title

- title: IoT-powered remote sensing system and portable tools for real-time evaluation
    of strain imaging sheets affixed to old outdoor structures
  title_type: original
  lang: en

## Description

- description: 'Photonic crystal-based strain visualization film is promising for
    detecting the age-related deterioration of large man-made structures and public
    infrastructures. However, as the number of target structures increases, monitoring
    them all will become a major problem. We propose two solutions: (1) a portable
    solar-battery-powered automated monitoring station to monitor the color of photonic
    coatings, and (2) the application of real-time image analysis using mobile phones
    to record color changes. Both solutions make use of the power of small computers,
    while the former assists us with efficient data collection, and the latter helps
    non-experts to inspect structures without using expensive spectroscopes. The portable
    monitoring station consists of a micro-computer connected to a 3G mobile network,
    a USB camera, and a solar battery system installed in a waterproof box. Photographs
    of the strain visualization film are taken once every hour and, at all other times,
    the computer disconnects the camera to save electricity. We placed four monitoring
    stations in the shade of a bridge or a tree and ran them continuously for more
    than a year. The application displays a real-time image in which only the strain-free
    area of the film is extracted. As a result, the region under strain and the background
    appear in white. This software runs on many mobile computers with built-in cameras
    and the OSs including Android, iOS, Windows, and Linux. This is possible due to
    the versatility of the computer vision library we used, namely OpenCV, which is
    widely used in robotics and automatic car-driving.'
  description_type: abstract
  lang: en

## Creator

- name: TODOROKI, Shin-ichi
  role: author
  orcid: https://orcid.org/0000-0003-3986-1900

## Contact agent



## Publisher

organization: SPIE

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## Keyword

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

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## Fileset

- id: b0276c79-becc-418c-bcc7-49ebb1634e93
  filename: Todoroki19SmartNDE.pdf
  content_type: application/pdf
  size: 7150559
  md5: c180cdc0d35366ff07de58ae028087ac

## Thumbnail

fileset_id: b0276c79-becc-418c-bcc7-49ebb1634e93
filename: Todoroki19SmartNDE.pdf