Infrared Machine Vision System Based on Te NWs‐Au NPs Plasmonic Optoelectronic Memristor for Motion Detection

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Authors: Jingyao Bian, Yongxing Zhu, Ye Tao, Zhongqiang Wang, Xiaoning Zhao, Ya Lin, Haiyang Xu, Y. Liu
Cited by: 2
References: 31

Abstract

Infrared (IR) machine vision systems have advanced significantly in a range of applications, including autonomous driving, security monitoring, and intelligent night vision. Despite advances in optoelectronic memristors by mixed optical and electrical operation, achieving infrared-specific fully light-modulated vision systems remains challenging. Here, we demonstrate a plasmonic optoelectronic memristor based on Te nanowires-Au nanoparticles/ι-carrageenan film. Localized surface plasmon resonanceassisted optical excitation endows the device with non-volatile, IR-programmable conductance states that can be selectively erased by visible light, yielding an all-photonic write/erase scheme without electrical intervention. Exploiting this reversible photonic plasticity, we construct an IR vision system capable of in-sensor Boolean logic and motion detection under complete darkness. An optical neural network trained on the reversible conductance dynamics attains 91.4% recognition accuracy for moving objects. This work proposes a fully light-modulated optoelectronic memristor that may promote the future development of efficient IR machine vision systems.

Fields of Study & Subjects

Advanced Memory and Neural Computing Neural Networks and Reservoir Computing Transition Metal Oxide Nanomaterials

Publication details

Journal / source
Advanced Science
Publisher
Wiley
Volume
13
Issue
20
Pages
e23162–e23162
Publication date
30 January 2026
Language
EN