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

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 multispectra..., , , # 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: [[e-mail]](mailto:[e-mail]), [[e-mail]](mailto:[e-mail])

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 photo...