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Anti-distortion bioinspired camera with an inhomogeneous photo-pixel array

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Authors

Choi, Changsoon; Hinton, Henry; Seung, Hyojin; Chang, Sehui; Kim, Ji Su; You, Woosang; Kim, Min Sung; Hong, Jung Pyo; Lim, Jung Ah; Hwang, Do Kyung; Lee, Gil Ju; Jang, Houk; Song, Young Min; Kim, Dae-Hyeong; Ham, Donhee

Issue Date
2024-07
Publisher
Nature Publishing Group
Citation
Nature Communications, Vol.15 No.1, p. 6021
Abstract
The bioinspired camera, comprising a single lens and a curved image sensor-a photodiode array on a curved surface-, was born of flexible electronics. Its economical build lends itself well to space-constrained machine vision applications. The curved sensor, much akin to the retina, helps image focusing, but the curvature also creates a problem of image distortion, which can undermine machine vision tasks such as object recognition. Here we report an anti-distortion single-lens camera, where 4096 silicon photodiodes arrayed on a curved surface in a nonuniform pattern assimilated to the distorting optics are the key to anti-distortion engineering. That is, the photo-pixel distribution pattern itself is warped in the same manner as images are warped, which correctively reverses distortion. Acquired images feature no appreciable distortion across a 120 degrees horizontal view, as confirmed by their neural-network recognition accuracies. This distortion correction via photo-pixel array reconfiguration is a form of in-sensor computing. Curvature of image sensors that match the focal plane of the lens facilitate focussing but can cause image distortion. Here, an anti-distortion single-lens camera was developed using a curved image sensor with a photo-pixel distribution pattern warped like image warping to correctively reverse distortion.
ISSN
2041-1723
URI
https://hdl.handle.net/10371/209002
DOI
https://doi.org/10.1038/s41467-024-50271-7
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  • College of Engineering
  • School of Chemical and Biological Engineering
Research Area Materials Science

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