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Related Concept Videos

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Updated: Apr 12, 2026

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Extreme Illuminated Vision Processing with a Graded Alloyed Perovskite In-sensor Computing Network.

Zhenye Zhan1,2, Yueheng Lu1, Yongjian Zheng1

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|April 10, 2026
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Summary

Researchers developed a novel perovskite photodiode for in-sensor computing, achieving broadband detection, a wide dynamic range, and fast response times. This advancement enables low-power, high-resolution imaging for artificial intelligence machine vision applications.

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Area of Science:

  • Materials Science
  • Optoelectronics
  • Computer Engineering

Background:

  • In-sensor computing aims to reduce energy and latency by integrating sensing and computation.
  • Current limitations exist in extreme lighting, hindering broadband responsivity, dynamic range, and response speed.

Purpose of the Study:

  • To develop advanced photodiode hardware for in-sensor computing.
  • To overcome limitations in extreme illumination scenarios for machine vision.

Main Methods:

  • Fabrication of a fully vapor-deposited graded Pb-Sn alloyed perovskite heterojunction photodiode.
  • Integration of the photodiode into a wafer-scale imaging processor with a reconfigurable array.

Main Results:

  • Achieved broadband detection from visible to infrared light.
  • Demonstrated a 230 dB linear dynamic range and a 33 ns response time.
  • Enabled low-power, high-resolution edge detection, adaptive background suppression, and high-speed dynamic imaging.

Conclusions:

  • The developed perovskite photodiode offers improved crystal quality and performance metrics.
  • The in-sensor processor facilitates practical applications in biomedical detection and spatiotemporal encoding.
  • This work advances in-sensor computing hardware, paving the way for practical artificial intelligent machine vision.