Nature Communications (Jul 2024)

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

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

DOI
https://doi.org/10.1038/s41467-024-50271-7
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 9

Abstract

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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° 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.