| Autor: |
Feng, Xiaopeng, Li, Chenglong, Song, Jinmei, He, Yuhong, Qu, Wei, Li, Weijun, Guo, Keke, Liu, Lulu, Yang, Bai, Wei, Haotong |
| Předmět: |
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| Zdroj: |
Nature Communications; 1/17/2024, Vol. 15 Issue 1, p1-9, 9p |
| Abstrakt: |
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. Differential spectrometers recognise different wavelength via their differential photodetector responsivity. The authors combine an 8-pixel hemispherical perovskite photodetector with neural network algorithms to realise 3D trajectory tracking and 2D location tacking with colour classification. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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