神经形态工程学
材料科学
计算机科学
人眼
数字微镜装置
预处理器
光电子学
视网膜
人工智能
紫外线
人类视觉系统模型
图像传感器
计算机视觉
光电探测器
光学
人工神经网络
纳米技术
物理
图像(数学)
作者
Zhaoying Xi,Maosheng Liu,Jia‐Han Zhang,Shaohui Zhang,Lei Li,Shan Li,Mingming Jiang,Weihua Tang,Zeng Liu
标识
DOI:10.1002/adom.202402193
摘要
Abstract The rapidly developing Artificial Intelligence era has an increasing demand for high‐performance organ‐on‐a‐chip systems, especially the vision system, which is the most essential perceptual system for human beings. However, traditional artificial vision systems require multiple functional components, which are not favorable for integration. Neuromorphic visual sensors (NVSs) inspired by the human retina combine visual sensing and multiple preprocessing functions. However, most NVSs require complex structures to achieve both photo sensing and memory, and are difficult to be large‐scale fabricated. Here, a novel In 2 O 3 ‐Ga 2 O 3 (InGaO) thin‐film‐based NVS with both high photosensitivity and superior photomemory performance is proposed, which can avoid the complex multilayer structure. The device possesses high accuracy optical communication and multiple retina‐like functions. Notably, this InGaO NVS achieves sensing of most UV light, and it has been experimentally confirmed to have excellent photoelectric synaptic performance under both 254 nm and 365 nm UV illumination. This work provides a feasible strategy to assist the human eye in sensing invisible UV light.
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