An Intelligent CMOS Image Sensor with a Deep Learning Algorithm for Smart Internet of Things

Minhyun Jin, Keunyeol Park, Minkyu Song

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Recently, many kinds of tremendous requirements are needed for smart Internet of Things (IoT). Among them, an intelligent and self-working CMOS image sensor (CIS) is a key component to satisfy the specifications of smart IoT. In this paper, therefore, an intelligent CIS with a deep learning algorithm is discussed. With a deep learning and a variable pixel recognition algorithm, an intelligent CIS has been implemented. Even though a low resolution image is obtained, a high resolution image can be taken by the proposed deep learning algorithm. As well as the intelligent CIS chip has been fabricated with a 90nm Samsung CIS technology, the power consumption is extremely low by about 1.0mW with a VGA graphic mode.

Original languageEnglish
Title of host publication34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132716
DOIs
StatePublished - Jun 2019
Event34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 - JeJu, Korea, Republic of
Duration: 23 Jun 201926 Jun 2019

Publication series

Name34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019

Conference

Conference34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
Country/TerritoryKorea, Republic of
CityJeJu
Period23/06/1926/06/19

Keywords

  • a variable pixel recognition algorithm
  • deep learning algorithm
  • intelligent and self-working CMOS image sensor
  • smart Internet of Things (IoT)

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