A Computational Cmos Image Sensor Architecture Using Inpixel Pwmscibased Mac With Reconfigurable Kernel Size

• doi: 10.1109/NewCAS58973.2024.10666327
• title: A Computational CMOS Image Sensor Architecture Using In-Pixel PWM-SCI-Based MAC with Reconfigurable Kernel Size
• publisher: IEEE
• isbn: 979-8-3503-6176-6
• issn: 2472-467X
• rank: 675
• access_type: LOCKED
• content_type: Conferences
• abstract: In the era of artificial intelligence (AI) and computer vision (CV), there is a rising demand for complementary metaloxide semiconductor (CMOS) image sensors to process visual information. This paper introduces a CMOS image sensor (CIS) architecture designed to ameliorate the limitation of fixed kernel size of on-chip image filtering by utilizing column-shared CIS circuits. We present the overall architecture and provide details of the working principle of the proposed CIS. The pixel and the associated column-shared circuit are designed and simulated in a 1-poly 6-metal 0.18-µm CMOS process. The presented work paves the path for making CIS architectures more versatile and resolves the kernel size problem in existing solutions.
• article_number: 10666327
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10666327
• html_url: https://ieeexplore.ieee.org/document/10666327/
• abstract_url: https://ieeexplore.ieee.org/document/10666327/
• publication_title: 2024 22nd IEEE Interregional NEWCAS Conference (NEWCAS)
• conference_location: Sherbrooke, QC, Canada
• conference_dates: 16-19 June 2024
• publication_number: 10666286
• is_number: 10666108
• publication_year: 2024
• publication_date: 16-19 June 2024
• start_page: 198
• end_page: 202
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 193
• insert_date: 20240917
• index_terms:
  • ieee_terms:
    • Visualization
    • Simulation
    • Circuits
    • Neural networks
    • Computer architecture
    • CMOS image sensors
    • Image filtering
  • author_terms:
    • Artificial Intelligence
    • Computer Vision
    • CMOS Image Sensor
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Complementary Metal–oxide–semiconductor Image
    • Complementary Metal Oxide Semiconductor Image
    • Architectural Design
    • Image Filtering
    • Neural Network
    • Simulation Results
    • Convolution
    • Image Classification
    • Photodiode
    • Pulse Width
    • Pulsewidth Modulation
    • Network Layer
    • Current Source
    • Current Regulations
    • Frame Rate
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Photocurrent
    • Intermediate Results
    • Intermediate Outcomes
    • Circuit Design
    • Supply Voltage
    • Digital Circuits
    • Digital Circuitry
    • Complementary Metal Oxide Semiconductor Technology
    • Pixel Array
    • Kernel Weight
    • Objects In The Scene
    • Series Of Signals
    • Dimension Of The Kernel
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-6176-6, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-6175-9, isbnType: New-2005
• authors:
  • Author Name: Jiajun Li
    Affiliation: Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada
    Author URL: https://ieeexplore.ieee.org/author/37985270900
    ID: 37985270900
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada
  • Author Name: Yi Luo
    Affiliation: Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada
    Author URL: https://ieeexplore.ieee.org/author/970306948901920
    ID: 970306948901920
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada
    • Department of Component Development, vivo Mobile Communication Co., Ltd., Shenzhen, China
  • Author Name: Reza Molavi
    Affiliation: Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada
    Author URL: https://ieeexplore.ieee.org/author/37421523900
    ID: 37421523900
    Order: 3
    Author Affiliations:
    • Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada
  • Author Name: Shahriar Mirabbasi
    Affiliation: Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada
    Author URL: https://ieeexplore.ieee.org/author/37269465100
    ID: 37269465100
    Order: 4
    Author Affiliations:
    • Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: 7 μm×7 μm
• dark_current: 5 fA to 500 fA based on ambient light conditions

Optical Data

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

Performance Metrics

• frame_rate: 0-400 fps
• power_consumption: 0.8-1.4 mW per pixel

Applications & Benefits

• cell_imaging: The sensor enables in-pixel processing for efficient image classification and computational tasks in various applications such as image recognition and scene analysis.
• benefits: The proposed architecture offers a variable kernel size for enhanced flexibility in processing, addressing the limitations of fixed kernel sizes in existing solutions.

Supporting Organizations

• supported_by: Natural Sciences and Engineering Research Council of Canada (NSERC), CMC Microsystems

Manuscript Details

• publication_date: 16-19 June 2024

Relevancy Score

• score: 10
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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