A Biomimetic Fisheye for High-Accuracy Underwater Recognition Enabled by Oxide Semiconductor Retina

. The n-p-n band configuration further enables effective control of photogenerated carrier separation and recombination, resulting in highly linear and stable pulse-driven weight modulation as well as pronounced short-term memory and temporal sensitivity. These characteristics allow the retinal sensor to operate as a physical reservoir, supporting neuromorphic and in-sensor computing. Meanwhile, we optimized the 3D curvature of the retina to compensate optical aberrations, enabling wide-field-of-view imaging with extremely low aberrations. Using this fully hardware-based framework with algorithms, the average recognition accuracy for underwater fish targets reached 90.86%, which remains at 80.15% under strong Gaussian noise and above 70% even under salt-and-pepper noise perturbations. This work establishes a compact and efficient hardware paradigm for next-generation underwater visual systems.

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Publication Details

Journal
ACS Nano
Published
2026-04-21
DOI
https://doi.org/10.1021/acsnano.6c01963
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Biomimetic Fisheye for High-Accuracy Underwater Recognition Enabled by Oxide Semiconductor Retina

Ruohao Hong, Pengcheng Zeng, Lei Liao, Zhengdao Xie et al.
ACS Nano
Optical Wireless Communication Technologies
article

A Biomimetic Fisheye for High-Accuracy Underwater Recognition Enabled by Oxide Semiconductor Retina

Ruohao Hong, Pengcheng Zeng, Lei Liao, Zhengdao Xie, Qinghui Hong, B Zhang, Jing Han, Xuming Zou, Weiwei Sun, Chang Liu, Jing Zeng, Zishuo Zhao, Wei Zhu, Jinhui Cao, Rui He, Lin Tang
article en

Abstract

. The n-p-n band configuration further enables effective control of photogenerated carrier separation and recombination, resulting in highly linear and stable pulse-driven weight modulation as well as pronounced short-term memory and temporal sensitivity. These characteristics allow the retinal sensor to operate as a physical reservoir, supporting neuromorphic and in-sensor computing. Meanwhile, we optimized the 3D curvature of the retina to compensate optical aberrations, enabling wide-field-of-view imaging with extremely low aberrations. Using this fully hardware-based framework with algorithms, the average recognition accuracy for underwater fish targets reached 90.86%, which remains at 80.15% under strong Gaussian noise and above 70% even under salt-and-pepper noise perturbations. This work establishes a compact and efficient hardware paradigm for next-generation underwater visual systems.

ACS NanoVol. 20(17)
Hunan University (CN), National University of Defense Technology (CN), Henan Academy of Sciences (CN), State Key Laboratory on Integrated Optoelectronics (CN), Institute of Semiconductors (CN), Huazhong University of Science and Technology (CN), Changsha University of Science and Technology (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Key Research and Development Program of Hunan Province of China
Life below water
Openalex Percentile: Top 23%
Optical Wireless Communication Technologies
DOISourceOpenAlex
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