An Intelligent Cmos Image Sensor With A Deep Learning Algorithm For Smart Internet Of Things

• doi: 10.1109/ITC-CSCC.2019.8793332
• title: An Intelligent CMOS Image Sensor with a Deep Learning Algorithm for Smart Internet of Things
• publisher: IEEE
• isbn: 978-1-7281-3272-3
• issn:
• rank: 1515
• access_type: LOCKED
• content_type: Conferences
• 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.
• article_number: 8793332
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8793332
• html_url: https://ieeexplore.ieee.org/document/8793332/
• abstract_url: https://ieeexplore.ieee.org/document/8793332/
• publication_title: 2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
• conference_location: JeJu, Korea (South)
• conference_dates: 23-26 June 2019
• publication_number: 8787388
• is_number: 8793289
• publication_year: 2019
• publication_date: 23-26 June 2019
• start_page: 1
• end_page: 2
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 970
• insert_date: 20190812
• index_terms:
  • ieee_terms:
    • Deep learning
    • Image resolution
    • CMOS image sensors
    • Internet of Things
    • Random access memory
    • Image recognition
    • Biomedical measurement
  • author_terms:
    • intelligent and self-working CMOS image sensor
    • smart Internet of Things (IoT)
    • deep learning algorithm
    • a variable pixel recognition algorithm
  • dynamic_index_terms:
    • Intelligence
    • Deep Learning
    • Internet Of Things
    • Internet-of-Things
    • Image Sensor
    • Camera Sensor
    • Smart Internet Of Things
    • High-resolution Images
    • Power Consumption
    • Low-resolution Images
    • Image Quality
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Digital Code
    • Column Array
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-7281-3272-3, isbnType: New-2005
  • format: USB ISBN, value: 978-1-7281-3270-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-7281-3271-6, isbnType: New-2005
• authors:
  • Author Name: Minhyun Jin
    Affiliation: Dept. of Semiconductor Science, Dongguk University, Seoul, KOREA
    Author URL: https://ieeexplore.ieee.org/author/37085989619
    ID: 37085989619
    Order: 1
    Author Affiliations:
    • Dept. of Semiconductor Science, Dongguk University, Seoul, KOREA
  • Author Name: Keunyeol Park
    Affiliation: Dept. of Semiconductor Science, Dongguk University, Seoul, KOREA
    Author URL: https://ieeexplore.ieee.org/author/37085992237
    ID: 37085992237
    Order: 2
    Author Affiliations:
    • Dept. of Semiconductor Science, Dongguk University, Seoul, KOREA
  • Author Name: Minkyu Song
    Affiliation: Dept. of Semiconductor Science, Dongguk University, Seoul, KOREA
    Author URL: https://ieeexplore.ieee.org/author/37349492100
    ID: 37349492100
    Order: 3
    Author Affiliations:
    • Dept. of Semiconductor Science, Dongguk University, Seoul, KOREA

Image Sensor

• sensor_type: CMOS Image Sensor
• resolution: 640x480 VGA
• dynamic_range: Not specified
• pixel_size: 4.8um x 4.8um
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 30 frame/s
• power_consumption: 1.0mW (VGA graphic mode)

Applications & Benefits

• cell_imaging: Not specified
• benefits: Improves image quality through deep learning algorithm.

Supporting Organizations

• supported_by: MOTIE, KSRC

Manuscript Details

• publication_date: 23-26 June 2019

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

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