Avian eye–inspired perovskite artificial vision system for foveated and multispectral imaging

多光谱图像 计算机视觉 人工智能 计算机科学
作者
Jinhong Park,Min Seok Kim,Joonsoo Kim,Sehui Chang,Mincheol Lee,Gil Ju Lee,Young Min Song,Dae‐Hyeong Kim
出处
期刊:Science robotics [American Association for the Advancement of Science]
卷期号:9 (90): eadk6903-eadk6903 被引量:51
标识
DOI:10.1126/scirobotics.adk6903
摘要

Avian eyes have deep central foveae as a result of extensive evolution. Deep foveae efficiently refract incident light, creating a magnified image of the target object and making it easier to track object motion. These features are essential for detecting and tracking remote objects in dynamic environments. Furthermore, avian eyes respond to a wide spectrum of light, including visible and ultraviolet light, allowing them to efficiently distinguish the target object from complex backgrounds. Despite notable advances in artificial vision systems that mimic animal vision, the exceptional object detection and targeting capabilities of avian eyes via foveated and multispectral imaging remain underexplored. Here, we present an artificial vision system that capitalizes on these aspects of avian vision. We introduce an artificial fovea and vertically stacked perovskite photodetector arrays whose designs were optimized by theoretical simulations for the demonstration of foveated and multispectral imaging. The artificial vision system successfully identifies colored and mixed-color objects and detects remote objects through foveated imaging. The potential for use in uncrewed aerial vehicles that need to detect, track, and recognize distant targets in dynamic environments is also discussed. Our avian eye-inspired perovskite artificial vision system marks a notable advance in bioinspired artificial visions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
su123发布了新的文献求助10
刚刚
刚刚
jgyyugyfy完成签到,获得积分10
1秒前
桐桐应助出类拔萃采纳,获得10
1秒前
于高杨完成签到,获得积分10
1秒前
xiaozhou完成签到,获得积分20
2秒前
2秒前
雅若晨兮发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
南桑发布了新的文献求助10
2秒前
从容的萤完成签到,获得积分10
3秒前
horse82发布了新的文献求助10
3秒前
啵啵完成签到,获得积分10
3秒前
章鱼哥完成签到,获得积分10
3秒前
4秒前
4秒前
4秒前
kang发布了新的文献求助10
4秒前
hwj完成签到,获得积分10
5秒前
Lucas应助mayun95采纳,获得10
5秒前
热摩卡完成签到,获得积分10
5秒前
TANG发布了新的文献求助10
5秒前
6秒前
万能图书馆应助library2025采纳,获得10
6秒前
小李发布了新的文献求助10
6秒前
缓慢咖啡发布了新的文献求助10
6秒前
6秒前
ttrr发布了新的文献求助10
6秒前
reap发布了新的文献求助10
6秒前
青青儿完成签到,获得积分10
7秒前
CheeseD发布了新的文献求助10
7秒前
大意的小小完成签到 ,获得积分10
8秒前
研友_nxwN7L发布了新的文献求助10
8秒前
8秒前
章鱼哥发布了新的文献求助10
8秒前
Hao发布了新的文献求助10
8秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6391965
求助须知:如何正确求助?哪些是违规求助? 8207410
关于积分的说明 17372941
捐赠科研通 5445467
什么是DOI,文献DOI怎么找? 2879014
邀请新用户注册赠送积分活动 1855449
关于科研通互助平台的介绍 1698579