DOI: 10.5061/dryad.dv41ns263
title: Avian-eye-inspired perovskite artificial vision system for foveated and multispectral imaging

description: Avian eyes possess a deep central fovea as a result of extensive
 evolution. Deep fovea efficiently refracts incident light, creating a
 magnified image of the target object and making it easier to track its
 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 are
 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 bio-inspired
 artificial visions.
description: # Avian-eye-inspired perovskite artificial vision system for foveated and
 multispectral imaging Data for Jinhong Park et al.
 [https://doi.org/10.5061/dryad.dv41ns263](https://doi.org/10.5061/dryad.dv41ns263) ### GENERAL INFORMATION 1\. Title of Dataset: Data from: Avian-eye-inspired perovskite artificial vision system for foveated and multispectral imaging. 2\. Author information: Corresponding authors Name: Dae-Hyeong Kim, Young Min Song Institution: Seoul National University, Gwangju Institute of Science and Technology Email: [dkim98@snu.ac.kr](mailto:dkim98@snu.ac.kr), [ymsong@gist.ac.kr](mailto:ymsong@gist.ac.kr) 3\. Date of data collection: 2019-2024 4\. Geographic location of data collection: Seoul, Republic of Korea // Gwangju, Republic of Korea ### Description of the data and file structure File 1 Name: Figure 3D File 1 Description: Normalized responsivity of an individual pixel under different 7 wavelengths. File 2 Name: Figure 3E File 2 Description: Transient photoresponse of an individual pixel under different wavelengths. File 3 Name: Figure 3F File 3 Description: On/off currents of an individual pixel in the multispectral image sensor. File 4 Name: figs. 6A-D File 4 Description: Absorbance and normalized photoluminescence (PL) spectra of ultraviolet (UV) (A), blue (B), green (C) and red (D) layers. File 5 Name: figs. 6E-H File 5 Description: Tauc plots of UV (E), blue (F), green (G) and red (H) layers. File 6 Name: figs. 6I-L File 6 Description: X-ray diffraction (XRD) patterns of UV (I), blue (J), green (K) and red (L) layers. File 7 Name: figs. 7D File 7 Description: Measured transmittance spectra of the perovskite layers with different 4 precursor concentrations. File 8 Name: figs. 8C-F File 8 Description: Photocurrent of individual UV (C), blue (D), green (E) and 4 red (F) photodetector arrays with different precursor concentrations. File 9 Name: figs. 10A-D File 9 Description: Illumination-intensity-dependent photocurrent and responsivity of ultraviolet 3 (UV) (A), blue (B), green (C) and red (D) detectors in the multispectral image sensor. File 10 Name: figs. 10E-H File 10 Description: Current–voltage (I–V) curves of UV (E), blue (F), green (G) and red (H) detectors in the multispectral image sensor under dark and illumination with different light intensities.