In-sensor image memorization, low-level processing, and high-level computing by using above-bandgap photovoltages.
Ontology highlight
ABSTRACT: In-sensor computing holds great promise for ultrafast and energy-efficient machine vision. However, the development of a versatile in-sensor computing system that can integrate image memorization, low-level processing, and high-level computing functions remains a challenge, primarily due to the scarcity of photosensors that can offer both dynamic photoresponse and programmable photoresponsivity. Here, we successfully integrate these multi-functions into a ferroelectric photosensor-based array. The key enabler is the ferroelectric photosensor operating via the bulk photovoltaic effect, which exhibits above-bandgap, dynamically responding, and electrically switchable photovoltages. By using the dynamic photovoltage response, the array is capable of memorizing and pre-processing images, with
SUBMITTER: Liu K
PROVIDER: S-EPMC12796322 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA