Ferroelectric photosensor network: an advanced hardware solution to real-time machine vision.

ABSTRACT: Nowadays the development of machine vision is oriented toward real-time applications such as autonomous driving. This demands a hardware solution with low latency, high energy efficiency, and good reliability. Here, we demonstrate a robust and self-powered in-sensor computing paradigm with a ferroelectric photosensor network (FE-PS-NET). The FE-PS-NET, constituted by ferroelectric photosensors (FE-PSs) with tunable photoresponsivities, is capable of simultaneously capturing and processing images. In each FE-PS, self-powered photovoltaic responses, modulated by remanent polarization of an epitaxial ferroelectric Pb(Zr_0.2Ti_0.8)O₃ layer, show not only multiple nonvolatile levels but also sign reversibility, enabling the representation of a signed weight in a s

SUBMITTER: Cui B 

PROVIDER: S-EPMC8971381 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature