journal article·2025-04Open access

Multi Computer Vision‐Driven Testing Platform: Structural Reconstruction and Material Identification with Ultrabroadband Carbon Nanotube Imagers (Adv. Mater. Technol. 7/2025)

Daiki Shikichi, Raito Ota, Miki Kubota, Yuya Kinoshita, Noa Izumi, Mitsuki Kosaka, Tomoki Nishi, Daiki Sakai, Yuto Matsuzaki, Leo Takai, Minami Yamamoto, Yuto Aoshima, Ryoga Odawara, Takeru Q. Suyama, Hiroki Okawa, Zhenyu Zhou, Tomoya Furukawa, Shota Wada, Satoshi Ikehata, Imari Sato, Yukio Kawano, Kou Li

Advanced Materials Technologies· Volume 10· Issue 7

Abstract

Carbon Nanotubes In article number 2401724, Yukio Kawano, Kou Li, and co-workers synergize material-identifying non-destructive inspections under non-invasive millimeter-wave–infrared irradiation with computer vision sensing. The system selectively extracts 3D structural information per constituent material from opaque complicated targets by carbon nanotube imagers.
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Research context

OpenAlex topics: Sensor Technology and Measurement Systems

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Affiliations

Faculty of Science and Engineering Chuo University 1‐13‐27 Kasuga Bunkyo‐ku Tokyo 112–8551 Japan

The Graduate University for Advanced Studies SOKENDAI, Shonan Village, Hayama Miura Kanagawa 240‐0193 Japan

National Institute of Informatics 2‐1‐2 Hitotsubashi Chiyoda‐ku Tokyo 101–8430 Japan

Kanagawa Institute of Industrial Science and Technology 705‐1 Imaizumi Ebina‐shi Kanagawa 243–0435 Japan

Laboratory for Future Interdisciplinary Research of Science and Technology Tokyo Institute of Technology 2‐12‐1 Ookayama Meguro‐ku Tokyo 152–8552 Japan

Department of Electrical and Electronic Engineering School of Engineering Tokyo Institute of Technology 2‐12‐1 Ookayama Meguro‐ku Tokyo 152–8552 Japan

References

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