FP7 FET CURVACE project unveils programmable miniature artificial compound eye

While consumer cameras are inspired from the single-lens mammalian eye, most animal species use compound eyes, which consist of a dense mosaic of tiny eyes.

While consumer cameras are inspired from the single-lens mammalian eye, most animal species use compound eyes, which consist of a dense mosaic of tiny eyes. Compared to single-lens eyes, compound eyes offer lower resolution, but significantly larger fields of view, thin package, and with negligible distortion, all features which are very useful for motion detection in tasks such as collision avoidance, distance estimation, take-off and landing. Attempts have recently been made to develop artificial compound eyes, but none of the solutions proposed so far included fast motion detection in a very large range of illuminations as insects do.

The novel curved artificial compound eye (CurvACE) features a panoramic, hemispherical field of view with a resolution identical to that of the fruitfly in less than 1 mm thickness. Additionally, it can extract images 3 times faster than fruitfly, and includes neuromorphic photodetectors that allow motion perception in a wide range of environments from a sunny day to moon light.

Furthermore, the artificial compound eye possesses embedded and programmable vision processing, which allows customizable integration in a broad range of applications where motion detection is important, such as mobile robots and micro air vehicles, home automation, surveillance, medical instruments, prosthetic devices, and smart clothing.

Dario Floreano, Ramon Pericet-Camara, Stéphane Viollet, Franck Ruffier, Andreas Brückner, Robert Leitel, Wolfgang Buss, Mohsine Menouni, Fabien Expert, Raphaël Juston,Michal Karol Dobrzynski, Geraud L’Eplattenier, Fabian Recktenwald, Hanspeter A. Mallot, and Nicolas Franceschini, Miniature curved artificial compound eyes, Proceedings of National Academy of Sciences, 20 May 2013

CURVACE is funded by the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: 237940.

Website: www.curvace.org

Contact: Prof. Dario Floreano, Laboratory of Intelligent Systems, EPFL, Lausanne,
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