Differential perovskite hemispherical photodetector for intelligent imaging and location tracking

Xiaopeng Feng, Chenglong Li, Jinmei Song, Yuhong He, Wei Qu, Weijun Li, Keke Guo, Lulu Liu, Bai Yang and Haotong Wei ()
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Xiaopeng Feng: Jilin University
Chenglong Li: Jilin University
Jinmei Song: Jilin University
Yuhong He: Jilin University
Wei Qu: Jilin University
Weijun Li: Jilin University
Keke Guo: Jilin University
Lulu Liu: Jilin University
Bai Yang: Jilin University
Haotong Wei: Jilin University

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Advanced photodetectors with intelligent functions are expected to take an important role in future technology. However, completing complex detection tasks within a limited number of pixels is still challenging. Here, we report a differential perovskite hemispherical photodetector serving as a smart locator for intelligent imaging and location tracking. The high external quantum efficiency (~1000%) and low noise (10−13 A Hz−0.5) of perovskite hemispherical photodetector enable stable and large variations in signal response. Analysing the differential light response of only 8 pixels with the computer algorithm can realize the capability of colorful imaging and a computational spectral resolution of 4.7 nm in a low-cost and lensless device geometry. Through machine learning to mimic the differential current signal under different applied biases, one more dimensional detection information can be recorded, for dynamically tracking the running trajectory of an object in a three-dimensional space or two-dimensional plane with a color classification function.

Date: 2024
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DOI: 10.1038/s41467-024-44857-4

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