Ultralow-Power Machine Vision with Self-Powered Sensor Reservoir.

ABSTRACT: A neuromorphic visual system integrating optoelectronic synapses to perform the in-sensor computing is triggering a revolution due to the reduction of latency and energy consumption. Here it is demonstrated that the dwell time of photon-generated carriers in the space-charge region can be effectively extended by embedding a potential well on the shoulder of Schottky energy barrier. It permits the nonlinear interaction of photocurrents stimulated by spatiotemporal optical signals, which is necessary for in-sensor reservoir computing (RC). The machine vision with the sensor reservoir constituted by designed self-powered Au/P(VDF-TrFE)/Cs₂ AgBiBr₆ /ITO devices is competent for both static and dynamic vision tasks. It shows an accuracy of 99.97% for face classification an

SUBMITTER: Lao J 

PROVIDER: S-EPMC9130913 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature