Avian eyes have deep central foveae as a result of extensive evolution. Deep foveae efficiently refract incident light, creating a magnified image of the target object and making it easier to track object 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 were 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 bioinspired artificial visions.

中文翻译：

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受鸟类眼睛启发的钙钛矿人工视觉系统，用于中心凹和多光谱成像


由于广泛的进化，鸟类的眼睛具有深的中央凹。深中央凹可有效折射入射光，形成目标物体的放大图像，并更容易跟踪物体运动。这些功能对于动态环境中检测和跟踪远程对象至关重要。此外，鸟类的眼睛对宽光谱的光做出反应，包括可见光和紫外线，使它们能够有效地将目标物体与复杂的背景区分开来。尽管模仿动物视觉的人工视觉系统取得了显着的进步，但鸟类眼睛通过中心凹和多光谱成像实现的卓越的物体检测和瞄准能力仍未得到充分探索。在这里，我们提出了一种利用鸟类视觉这些方面的人工视觉系统。我们引入了人工中央凹和垂直堆叠的钙钛矿光电探测器阵列，其设计通过理论模拟进行了优化，以演示中央凹和多光谱成像。人工视觉系统成功识别彩色和混合颜色物体，并通过中心点成像检测远程物体。还讨论了在需要在动态环境中检测、跟踪和识别远处目标的无人驾驶飞行器中的应用潜力。我们的鸟类眼睛启发的钙钛矿人工视觉系统标志着生物启发的人工视觉的显着进步。