Infrared Machine Vision System Based on Te NWs‐Au NPs Plasmonic Optoelectronic Memristor for Motion Detection
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.
Authors
- Jingyao Bian (ORCID: https://orcid.org/0009-0004-3072-332X)
- Y. Liu
- Xiaoning Zhao
- Haiyang Xu
- Zhongqiang Wang
- Ya Lin
- Ye Tao
- Yongxing Zhu
Institutions
- Heilongjiang University of Science and Technology (CN)
- Northeast Normal University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1002/advs.202523162
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- People's Government of Jilin Province
- National Science Fund for Distinguished Young Scholars