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

Changsoon Choi^1,2, Henry Hinton¹, Hyojin Seung^3,4

¹John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.

Nature Communications

|July 17, 2024

Summary

This study introduces a novel bioinspired camera with a curved sensor that corrects image distortion. Its unique photo-pixel pattern eliminates distortion, enhancing machine vision tasks like object recognition.

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Area of Science:

Optics and Photonics
Machine Vision
Flexible Electronics

Background:

Bioinspired cameras with single lenses and curved image sensors offer economical solutions for space-constrained machine vision.
Curved sensors, similar to the retina, aid in image focusing but introduce optical distortion.
Image distortion can significantly impair machine vision performance, particularly in object recognition tasks.

Purpose of the Study:

To develop an anti-distortion camera system for machine vision applications.
To engineer a camera that corrects optical distortion inherent in curved image sensors.
To demonstrate a novel method for distortion correction within the image sensor itself.

Main Methods:

Designed a bioinspired camera utilizing a single lens and a curved photodiode array.
Developed an anti-distortion engineering approach by arranging 4096 silicon photodiodes in a nonuniform, warped pattern on the curved surface.
The photo-pixel distribution pattern was specifically warped to counteract the optical distortion introduced by the camera's optics.

Main Results:

The developed camera effectively corrected image distortion across a 120° horizontal field of view.
Acquired images exhibited no appreciable distortion.
Neural network recognition accuracies confirmed the effectiveness of the distortion correction method.

Conclusions:

A novel anti-distortion single-lens camera was successfully created using a specifically patterned curved photodiode array.
Distortion correction achieved through photo-pixel array reconfiguration represents a form of in-sensor computing.
This technology enhances the viability of curved sensor cameras for demanding machine vision applications.