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

Area of Science:

• Optoelectronics
• Nanotechnology
• Materials Science

Background:

• Infrared (IR) machine vision is crucial for autonomous driving, security, and night vision.
• Current optoelectronic memristors struggle with IR-specific, fully light-modulated systems.
• Achieving non-volatile, light-controlled IR vision remains a significant challenge.

Purpose of the Study:

• To demonstrate a plasmonic optoelectronic memristor for IR-specific vision systems.
• To achieve an all-photonic write/erase scheme for memristive devices.
• To develop an efficient IR machine vision system with in-sensor processing capabilities.

Main Methods:

• Fabrication of a plasmonic optoelectronic memristor using Te nanowires and Au nanoparticles on an ι-carrageenan film.
• Utilizing localized surface plasmon resonance for IR light-assisted programming.
• Employing visible light for erasing the programmed states, enabling all-photonic operation.
• Constructing an IR vision system for Boolean logic and motion detection.

Main Results:

• The device exhibited non-volatile, IR-programmable conductance states.
• An all-photonic write/erase mechanism was achieved without electrical intervention.
• The IR vision system demonstrated in-sensor Boolean logic and motion detection in darkness.
• An optical neural network achieved 91.4% accuracy in recognizing moving objects.

Conclusions:

• A fully light-modulated optoelectronic memristor was successfully demonstrated.
• The proposed device offers a pathway for advanced IR machine vision systems.
• This technology has the potential to enhance autonomous systems and night vision capabilities.