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Nanomaterial-Based Synaptic Optoelectronic Devices for In-Sensor Preprocessing of Image Data

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Title
Nanomaterial-Based Synaptic Optoelectronic Devices for In-Sensor Preprocessing of Image Data
Author(s)
Minkyung Lee; Hyojin Seung; Kwon, Jong Ik; Moon Kee Choi; Dae-Hyeong Kim; Changsoon Choi
Publication Date
2023-02
Journal
ACS OMEGA, v.8, no.6, pp.5209 - 5224
Publisher
ACS Publications
Abstract
With the advance in information technologies involving machine vision applications, the demand for energyand time-efficient acquisition, transfer, and processing of a large amount of image data has rapidly increased. However, current architectures of the machine vision system have inherent limitations in terms of power consumption and data latency owing to the physical isolation of image sensors and processors. Meanwhile, synaptic optoelectronic devices that exhibit photoresponse similar to the behaviors of the human synapse enable insensor preprocessing, which makes the front-end part of the image recognition process more efficient. Herein, we review recent progress in the development of synaptic optoelectronic devices using functional nanomaterials and their unique interfacial characteristics. First, we provide an overview of representative functional nanomaterials and device configurations for the synaptic optoelectronic devices. Then, we discuss the underlying physics of each nanomaterial in the synaptic optoelectronic device and explain related device characteristics that allow for the in-sensor preprocessing. We also discuss advantages achieved by the application of the synaptic optoelectronic devices to image preprocessing, such as contrast enhancement and image filtering. Finally, we conclude this review and present a short prospect.
URI
https://pr.ibs.re.kr/handle/8788114/13101
DOI
10.1021/acsomega.3c00440
ISSN
2470-1343
Appears in Collections:
Center for Nanoparticle Research(나노입자 연구단) > 1. Journal Papers (저널논문)
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