In-sensor Computing Devices for Bio-inspired Vision Sensors

Fuyou Liao; Yang Chai

doi:10.1109/EDTM53872.2022.9798059

In-sensor Computing Devices for Bio-inspired Vision Sensors

Fuyou Liao
, Yang Chai

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

The rapid development of Internet of Things generates abundant data, which demands a new computing paradigm to efficiently process these data at sensory terminals. Vision is the most typical sensor-data-intensive application. Biological visual systems have considerable advantages in terms of energy efficiency and multiple functionalities. The existing artificial vision system based on conventional image sensors, memory, and processing units has complex circuitry, high power consumption, and limited perception range. We design and demonstrate optoelectronic devices for bio-inspired visual sensors, which enable image sensing, neuromorphic visual pre-processing, and effective adaptation to a wide range of light-intensity.

Original language	English
Title of host publication	6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	307-309
Number of pages	3
ISBN (Electronic)	9781665421775
DOIs	https://doi.org/10.1109/EDTM53872.2022.9798059
Publication status	Published - Jun 2022
Event	6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022 - Virtual, Online, Japan Duration: 6 Mar 2022 → 9 Mar 2022

Publication series

Name	6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022

Conference

Conference	6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022
Country/Territory	Japan
City	Virtual, Online
Period	6/03/22 → 9/03/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

bio-inspired vision sensors
in-sensor computing
light adaptation
optoelectronic memory

ASJC Scopus subject areas

Process Chemistry and Technology
Hardware and Architecture
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Electronic, Optical and Magnetic Materials

More information

10.1109/EDTM53872.2022.9798059

Cite this

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title = "In-sensor Computing Devices for Bio-inspired Vision Sensors",

abstract = "The rapid development of Internet of Things generates abundant data, which demands a new computing paradigm to efficiently process these data at sensory terminals. Vision is the most typical sensor-data-intensive application. Biological visual systems have considerable advantages in terms of energy efficiency and multiple functionalities. The existing artificial vision system based on conventional image sensors, memory, and processing units has complex circuitry, high power consumption, and limited perception range. We design and demonstrate optoelectronic devices for bio-inspired visual sensors, which enable image sensing, neuromorphic visual pre-processing, and effective adaptation to a wide range of light-intensity.",

keywords = "bio-inspired vision sensors, in-sensor computing, light adaptation, optoelectronic memory",

author = "Fuyou Liao and Yang Chai",

note = "Funding Information: This work was supported by China Postdoctoral Science Foundation (2021M692221), Research rG ant of Council of Hong Kong (PolyU 15205619), the Innovation and Technology Fund (ITS/047/20), and the Hong Kong Polytechnic University (1-EZ 1T and SB4C). Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022 ; Conference date: 06-03-2022 Through 09-03-2022",

year = "2022",

month = jun,

doi = "10.1109/EDTM53872.2022.9798059",

language = "English",

series = "6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "307--309",

booktitle = "6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022",

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Liao, F & Chai, Y 2022, In-sensor Computing Devices for Bio-inspired Vision Sensors. in 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022. 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022, Institute of Electrical and Electronics Engineers Inc., pp. 307-309, 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022, Virtual, Online, Japan, 6/03/22. https://doi.org/10.1109/EDTM53872.2022.9798059

In-sensor Computing Devices for Bio-inspired Vision Sensors. / Liao, Fuyou; Chai, Yang.
6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 307-309 (6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N1 - Funding Information: This work was supported by China Postdoctoral Science Foundation (2021M692221), Research rG ant of Council of Hong Kong (PolyU 15205619), the Innovation and Technology Fund (ITS/047/20), and the Hong Kong Polytechnic University (1-EZ 1T and SB4C). Publisher Copyright: © 2022 IEEE.

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N2 - The rapid development of Internet of Things generates abundant data, which demands a new computing paradigm to efficiently process these data at sensory terminals. Vision is the most typical sensor-data-intensive application. Biological visual systems have considerable advantages in terms of energy efficiency and multiple functionalities. The existing artificial vision system based on conventional image sensors, memory, and processing units has complex circuitry, high power consumption, and limited perception range. We design and demonstrate optoelectronic devices for bio-inspired visual sensors, which enable image sensing, neuromorphic visual pre-processing, and effective adaptation to a wide range of light-intensity.

AB - The rapid development of Internet of Things generates abundant data, which demands a new computing paradigm to efficiently process these data at sensory terminals. Vision is the most typical sensor-data-intensive application. Biological visual systems have considerable advantages in terms of energy efficiency and multiple functionalities. The existing artificial vision system based on conventional image sensors, memory, and processing units has complex circuitry, high power consumption, and limited perception range. We design and demonstrate optoelectronic devices for bio-inspired visual sensors, which enable image sensing, neuromorphic visual pre-processing, and effective adaptation to a wide range of light-intensity.

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KW - in-sensor computing

KW - light adaptation

KW - optoelectronic memory

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DO - 10.1109/EDTM53872.2022.9798059

M3 - Conference article published in proceeding or book

AN - SCOPUS:85133953316

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BT - 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Electron Devices Technology and Manufacturing Conference, EDTM 2022

Y2 - 6 March 2022 through 9 March 2022

ER -

In-sensor Computing Devices for Bio-inspired Vision Sensors

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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Cite this