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