Beyond Tristimulus Color Vision with Perovskite-Based Multispectral Sensors
Wayesh Qarony, Haris Ahmad Khan, Mohammad Ismail Hossain, Masayuki Kozawa, Alberto Salleo, Jon Yngve Hardeberg, Hiroyuki Fujiwara, Yuen Hong Tsang, Dietmar Knipp
- Year
- 2022
- Citations
- 16
Abstract
In this study, optical multispectral sensors based on perovskite semiconductors have been proposed, simulated, and characterized. The perovskite material system combined with the 3D vertical integration of the sensor channels allow for realizing sensors with high sensitivities and a high spectral resolution. The sensors can be applied in several emerging areas, including biomedical imaging, surveillance, complex motion planning of autonomous robots or vehicles, artificial intelligence, and agricultural applications. The sensor elements can be vertically integrated on a readout electronic to realize sensor arrays and multispectral digital cameras. In this study, three- and six-channel vertically stacked perovskite sensors are optically designed, electromagnetically simulated, and colorimetrically characterized to evaluate the color reproduction. The proposed sensors allow for the implementation of snapshot cameras with high sensitivity. The proposed sensor is compared to other sensor technologies in terms of sensitivity and selectivity.
Keywords
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