Description
In recent years, failures caused by aging infrastructure have become more common. However, visual inspections via human eyes still represent a major part of the inspection methods for such facilities. These inspections depend on heavily experience and intuition of the inspector, and they take a lot of working time. Therefore, this work introduces a non-destructive inspection system that combines a carbon nanotube thin-film camera and dynamic augmented reality. This system completes in itself that photo-detection and visualization of the result on the same device. CNT film indicates characteristics that are physical flexibility and high photo-absorption properties in the ultrabroadband longer-wavelength region (MMW–Vis) [1]. This device consequently operates independently, corresponding to the structure of the target by detecting photo-irradiation without the application of an external voltage bias. This work applies the aforementioned CNT films to a camera structure with the aim of identifying defects and materials in inspection targets.
As a basic test, this work demonstrates the material and structure identification of the independently fabricated target using the CNT camera (camera pitch: 2.4 mm, line width: 300 μm, and speed: 1 fps). This experiment demonstrates sequentially irradiating the photo-resource of three different wavelengths (976 nm, 1,310 nm, and 10.3 μm). The target has three holes that respectively shield materials with different transmission properties. The obtained results show that this camera device detects a photo-response corresponding to the wavelength of the photo-resource. Furthermore, it visually obtains results on the target using augmented reality.
[1] Y. Matsuzaki, et al. Small Science 5, 5, 2400448 (2025)
| I am the presenting author | Yes |
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