Kim Min Su, Kim Min Seok, Lee Mincheol, Jang Hyuk Jae, Kim Do Hyeon, Chang Sehui, Kim Minsung, Cho Hyojin, Kang Jiwon, Choi Changsoon, Hong Jung Pyo, Hwang Do Kyung, Lee Gil Ju, Kim Dae-Hyeong, Song Young Min
Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea.
School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Seoul 08826, Republic of Korea.
Sci Adv. 2024 Sep 20;10(38):eadp2809. doi: 10.1126/sciadv.adp2809. Epub 2024 Sep 18.
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.
受生物启发的人工视觉研究已催生了具有低光学像差、宽视野和紧凑外形的创新型机器人视觉系统。然而，在复杂背景和多变光照条件下进行目标检测和识别仍存在挑战。受具有垂直拉长瞳孔和反光层的猫眼启发，本研究引入了一种人工视觉系统，该系统设计用于在单目框架中实现卓越的目标检测和识别。该系统在半球形硅光电二极管阵列下方使用狭缝状椭圆形孔径和图案化金属反射器，减少过多光线并提高光敏性。这种设计在强光下实现清晰聚焦，在昏暗条件下提高灵敏度。理论和实验分析表明，该系统能够过滤冗余信息并在不同光照条件下检测伪装物体，这代表了单目相机技术的重大进步以及仿生学在光学创新中的潜力。
