Bioinspired Reconfigurable Vision Sensor Based on InGaN Semiconductor/Hydrogel Heterostructure for Dynamic‐Static Fusion Perception

Intelligent optoelectronic devices capable of simultaneously capturing dynamic motion and static images are crucial for enhancing the multi-functional performance and reliability of machine vision systems. Here, a bio-inspired reconfigurable vision sensor architecture composed of InGaN nanowire/hydrogel heterojunction is proposed, where the electron transport dynamics can be electrically modulated at the heterointerface under closed or open-circuit conditions. This simple operation switch enables rapid transition between photodetection and photosynaptic operation modes. Moreover, inspired by the biological receptor-regulation effect, CoO<sub>x</sub> nanoparticle decoration on the nanowires are introduced to improve the heterointerfacial charge transport and chemical reaction processes, effectively enhancing dual-mode optoelectronic performance. Specifically, under photodetection mode, the vision sensor shows an impressive responsivity and microsecond-level response speed, demonstrating fast static image sensing. Under photosynaptic mode, it exhibits typical synaptic behavior, achieving temporal-dependent image memory and enhancement, thereby supporting dynamic motion perception through fusing temporal information. Finally, a chameleon vision-inspired binocular artificial vision system is constructed, which simultaneously recognizes motion trajectories and identifies the absolute positions of moving objects under different motion paths, demonstrating dynamic-static fusion perception capabilities. This work presents a promising architecture for high-performance, self-powered, dual-function vision sensors, paving the way toward next-generation advanced and energy-efficient artificial vision systems.

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Publication Details

Journal
Advanced Materials
Published
2025-11-13
DOI
https://doi.org/10.1002/adma.202512894
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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Bioinspired Reconfigurable Vision Sensor Based on InGaN Semiconductor/Hydrogel Heterostructure for Dynamic‐Static Fusion Perception

Weijin Hu, Shi Fang, Dongyang Luo, Yong Yan et al.
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
article

Bioinspired Reconfigurable Vision Sensor Based on InGaN Semiconductor/Hydrogel Heterostructure for Dynamic‐Static Fusion Perception

Weijin Hu, Shi Fang, Dongyang Luo, Yong Yan, Haiding Sun, Yuanmin Luo, D.W. Wang, Zhixiang Gao, Xin Liu, Yang Li, Wei Chen, Weiyi Wang, Yuying Liu, Menglong Wang
article en

Abstract

Intelligent optoelectronic devices capable of simultaneously capturing dynamic motion and static images are crucial for enhancing the multi-functional performance and reliability of machine vision systems. Here, a bio-inspired reconfigurable vision sensor architecture composed of InGaN nanowire/hydrogel heterojunction is proposed, where the electron transport dynamics can be electrically modulated at the heterointerface under closed or open-circuit conditions. This simple operation switch enables rapid transition between photodetection and photosynaptic operation modes. Moreover, inspired by the biological receptor-regulation effect, CoO<sub>x</sub> nanoparticle decoration on the nanowires are introduced to improve the heterointerfacial charge transport and chemical reaction processes, effectively enhancing dual-mode optoelectronic performance. Specifically, under photodetection mode, the vision sensor shows an impressive responsivity and microsecond-level response speed, demonstrating fast static image sensing. Under photosynaptic mode, it exhibits typical synaptic behavior, achieving temporal-dependent image memory and enhancement, thereby supporting dynamic motion perception through fusing temporal information. Finally, a chameleon vision-inspired binocular artificial vision system is constructed, which simultaneously recognizes motion trajectories and identifies the absolute positions of moving objects under different motion paths, demonstrating dynamic-static fusion perception capabilities. This work presents a promising architecture for high-performance, self-powered, dual-function vision sensors, paving the way toward next-generation advanced and energy-efficient artificial vision systems.

Advanced MaterialsVol. 38(6)
University of Science and Technology of China (CN), Nanyang Technological University (SG), Hefei National Center for Physical Sciences at Nanoscale (CN), National Synchrotron Radiation Laboratory (CN)
National Natural Science Foundation of China, University of Science and Technology of China, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 67%
Advanced Sensor and Energy Harvesting Materials
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