Avian-eye-inspired perovskite artificial vision system for foveated and multispectral imaging
Data files
May 21, 2024 version files 992.36 KB
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figs._10A-D.xlsx
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figs._10E-H.xlsx
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figs._6A-D.xlsx
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figs._6E-H.xlsx
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figs._6I-L.xlsx
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figs._7D.xlsx
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figs._8C-F.xlsx
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Figure_3D.xlsx
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Figure_3E.xlsx
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Figure_3F.xlsx
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README.md
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Abstract
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.
Data for Jinhong Park et al.
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, 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.