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Perovskite retinomorphic image sensor for embodied intelligent vision.

Authors :
Zhilong He
Hongxiao Duan
Jianmin Zeng
Jie Zhou
Xiaolong Zhong
Zhixin Wu
Shenzhou Ni
Ze Jiang
Guangjun Xie
Jung-Yong Lee
Yi Lu
Yonghong Zeng
Biao Zhang
Wu Bin Ying
Zhibin Yang
Zhang Zhang
Gang Liu
Source :
Science Advances. 1/3/2025, Vol. 11 Issue 1, p1-13. 13p.
Publication Year :
2025

Abstract

Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities. The retinomorphic sensor array, using a one photodetector-one transistor geometry to resemble retinal circuit with broadband, ultrahigh, and reconfigurable photoresponsivities, executes both adaptive imaging with a contrast enhancement of ~620% under a dim-lit intensity of 10 microwatts per square centimeter and an instantaneous one-dimensional feature extraction algorithm to decompose the origin visual scenarios into parsimoniously encoded spatiotemporal information. This retinomorphic system endows embodied intelligence with adaptive imaging, in situ processing, and decision-making capabilities and promises enormous potential for autonomous robot applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23752548
Volume :
11
Issue :
1
Database :
Academic Search Index
Journal :
Science Advances
Publication Type :
Academic Journal
Accession number :
182139957
Full Text :
https://doi.org/10.1126/sciadv.ads2834