Self-powered and broadband opto-sensor with bionic visual adaptation function based on multilayer γ-InSe flakes.

Area of Science:

• Materials Science
• Optoelectronics
• Robotics

Background:

• Visual adaptation is crucial for artificial vision systems in intelligent bionic robots.
• Traditional systems require complex circuitry and algorithms, hindering efficiency and simplicity.
• Developing integrated, single-device solutions for visual adaptation is a key research goal.

Purpose of the Study:

• To develop a single, efficient opto-sensor device that emulates human-like visual adaptation.
• To replace complex traditional approaches with a simplified, integrated solution for artificial vision.
• To explore a novel working mechanism for visual adaptation in optoelectronic devices.

Main Methods:

• Fabrication of a two-terminal opto-sensor using multilayer γ-InSe flakes.
• Investigation of a new working mechanism combining photo-pyroelectric and photo-thermoelectric effects.
• Evaluation of the device's self-powered operation and adaptation behaviors across a broadband spectrum.

Main Results:

• The developed opto-sensor successfully emulated human-eye-like visual adaptation behaviors.
• The device demonstrated broadband light-sensing adaptation from ultraviolet to near-infrared wavelengths.
• Achieved near-complete photosensitivity recovery (99.6%) and synergetic visual adaptation.

Conclusions:

• The single γ-InSe opto-sensor offers an efficient and simplified approach to artificial visual adaptation.
• This advancement encourages the development of intelligent opto-sensors and enhanced machine vision systems.
• The device's self-powered, human-eye-like adaptation paves the way for more sophisticated bionic robots.