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説明:

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.

権利情報:

キーワード: photonic crystal, internet of things, bring your own device, outdoor monitoring system, computer vision, real time image analysis, strain sensor, structural color

刊行年月日: 2019-04-01

出版者: SPIE

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研究助成金:

原稿種別: 論文以外のデータ

MDR DOI:

公開URL: https://doi.org/10.1117/12.2513829

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更新時刻: 2022-10-03 01:30:39 +0900

MDRでの公開時刻: 2021-08-14 03:55:36 +0900