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Feline eye-inspired artificial vision for enhanced camouflage breaking under diverse light conditions.

Authors :
Min Su Kim
Min Seok Kim
Mincheol Lee
Hyuk Jae Jang
Do Hyeon Kim
Sehui Chang
Minsung Kim
Hyojin Cho
Jiwon Kang
Changsoon Choi
Jung Pyo Hong
Do Kyung Hwang
Gil Ju Lee
Dae-Hyeong Kim
Young Min Song
Source :
Science Advances. 9/20/2024, Vol. 10 Issue 38, p1-11. 11p.
Publication Year :
2024

Abstract

Biologically inspired artificial vision research has led to innovative robotic vision systems with low optical aberration, wide field of view, and compact form factor. However, challenges persist in object detection and recognition against complex backgrounds and varied lighting. Inspired by the feline eye, which features a vertically elongated pupil and tapetum lucidum, this study introduces an artificial vision system designed for superior object detection and recognition in a monocular framework. Using a slit-like elliptical aperture and a patterned metal reflector beneath a hemispherical silicon photodiode array, the system reduces excessive light and enhances photosensitivity. This design achieves clear focus under bright light and enhanced sensitivity in dim conditions. Theoretical and experimental analyses demonstrate the system's ability to filter redundant information and detect camouflaged objects in diverse lighting, representing a substantial advancement in monocular camera technology and the potential of biomimicry in optical innovations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23752548
Volume :
10
Issue :
38
Database :
Academic Search Index
Journal :
Science Advances
Publication Type :
Academic Journal
Accession number :
179919470
Full Text :
https://doi.org/10.1126/sciadv.adp2809