Neuro-inspired optical sensor array for high-accuracy static image recognition and dynamic trace extraction

Pei-Yu Huang, Bi-Yi Jiang, Hong-Ji Chen, Jia-Yi Xu, Kang Wang, Cheng-Yi Zhu, Xin-Yan Hu, Dong Li, Liang Zhen, Fei-Chi Zhou (), Jing-Kai Qin () and Cheng-Yan Xu ()
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Pei-Yu Huang: Harbin Institute of Technology (Shenzhen)
Bi-Yi Jiang: Southern University of Science and Technology
Hong-Ji Chen: Harbin Institute of Technology (Shenzhen)
Jia-Yi Xu: Southern University of Science and Technology
Kang Wang: Southeast University
Cheng-Yi Zhu: Harbin Institute of Technology (Shenzhen)
Xin-Yan Hu: Southern University of Science and Technology
Dong Li: Harbin Institute of Technology (Shenzhen)
Liang Zhen: Harbin Institute of Technology
Fei-Chi Zhou: Southern University of Science and Technology
Jing-Kai Qin: Harbin Institute of Technology (Shenzhen)
Cheng-Yan Xu: Harbin Institute of Technology (Shenzhen)

Nature Communications, 2023, vol. 14, issue 1, 1-9

Abstract: Abstract Neuro-inspired vision systems hold great promise to address the growing demands of mass data processing for edge computing, a distributed framework that brings computation and data storage closer to the sources of data. In addition to the capability of static image sensing and processing, the hardware implementation of a neuro-inspired vision system also requires the fulfilment of detecting and recognizing moving targets. Here, we demonstrated a neuro-inspired optical sensor based on two-dimensional NbS2/MoS2 hybrid films, which featured remarkable photo-induced conductance plasticity and low electrical energy consumption. A neuro-inspired optical sensor array with 10 × 10 NbS2/MoS2 phototransistors enabled highly integrated functions of sensing, memory, and contrast enhancement capabilities for static images, which benefits convolutional neural network (CNN) with a high image recognition accuracy. More importantly, in-sensor trajectory registration of moving light spots was experimentally implemented such that the post-processing could yield a high restoration accuracy. Our neuro-inspired optical sensor array could provide a fascinating platform for the implementation of high-performance artificial vision systems.

Date: 2023
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DOI: 10.1038/s41467-023-42488-9

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