鳥の目に着想を得た革新的なカメラを開発、物体検出を強化(Innovative Bird-Eye-Inspired Camera Developed for Enhanced Object Detection)

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2024-05-30 韓国基礎科学研究院(IBS)

研究者たちは鳥の目に触発された新しいタイプのカメラを開発しました。IBSのKIM Dae-Hyeong教授とGISTのSONG Young Min教授が率いるチームは、ペロブスカイトを使用したこのカメラを作成しました。鳥の目は、高度な視覚機能を持ち、特に中央窩と呼ばれる部分で光を大きく屈折させることで遠くの物体を拡大して見ることができます。この仕組みに基づき、研究チームは人工的な中央窩とUVおよびRGBに反応する多スペクトルイメージセンサーを設計しました。これにより、従来のズームレンズカメラよりも広範囲を視認でき、動体検出能力も向上しました。この技術は、ロボットや自動運転車、ドローンなどに応用できる可能性があります。

<関連情報>

鳥の目から着想を得たペロブスカイト人工視覚システムによるフォーベーテッドイメージングとマルチスペクトルイメージング Avian eye–inspired perovskite artificial vision system for foveated and multispectral imaging

JINHONG PARK, MIN SEOK KIM, JOONSOO KIM, SEHUI CHANG, […], AND DAE-HYEONG KIM
Science Robotics  Published: 29 May 2024
DOI:https://doi.org/10.1126/scirobotics.adk6903

鳥の目に着想を得た革新的なカメラを開発、物体検出を強化(Innovative Bird-Eye-Inspired Camera Developed for Enhanced Object Detection)

Editor’s summary

The eyes of certain bird species contain deep central foveae that can magnify a target object for motion tracking as well as four cone types corresponding to red, green, blue (RGB), and ultraviolet (UV) light. Inspired by these avian eyes, Park et al. developed an artificial vision system for foveated and multispectral imaging. The system was composed of an artificial Gaussian-shaped fovea that could magnify and focus an object similarly to a zoom lens and a vertically stacked perovskite photodetector array that could detect R, G, B, and UV light without filters. This vision system is particularly promising in uncrewed aerial vehicles for detecting target objects and their motion. —Melisa Yashinski

Abstract

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.

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