A Smart Image Sensor For Computer Vision

• doi:
• title: A Smart Image Sensor for Computer Vision
• publisher: IEEE
• isbn:
• issn:
• rank: 925
• access_type: LOCKED
• content_type: Conferences
• abstract: Many computer vision tasks requiring only a limited resolution and using a simple image processing algorithm could be implemented on a single silicon chip. This article presents a smart sensor chip, comprising a grid of light sensors and a set of processors operating in parallel. The chip has been fabricated in standard CMOS technology and satisfactorily tested. The main characteristics of the chip and its internal components are reported; an example of an image acquired and processed by this smart sensor is then presented.
• article_number: 5467963
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5467963
• html_url: https://ieeexplore.ieee.org/document/5467963/
• abstract_url: https://ieeexplore.ieee.org/document/5467963/
• publication_title: ESSCIRC '91: Proceedings - Seventeenth European Solid-State Circuits Conference
• conference_location: Milan, Italy
• conference_dates: 11-13 Sept. 1991
• publication_number: 5467712
• is_number: 5467713
• publication_year: 1991
• publication_date: 11-13 Sept. 1991
• start_page: 277
• end_page: 280
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 98
• insert_date: 20100601
• index_terms:
  • ieee_terms:
    • Image sensors
    • Computer vision
    • Intelligent sensors
    • CMOS technology
    • Image resolution
    • Image processing
    • Silicon
    • Sensor phenomena and characterization
    • CMOS image sensors
    • Testing
  • dynamic_index_terms:
    • Computer Vision
    • Sensory Networks
    • Photodiode
    • Binary Image
    • Intermediate Results
    • Intermediate Outcomes
    • Processing Elements
    • Edge Detection
    • High Degree Of Flexibility
    • CMOS Process
• authors:
  • Author Name: Maurizio Gibertoni
    Affiliation: L. H. S. T., Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37394460300
    ID: 37394460300
    Order: 1
    Author Affiliations:
    • L. H. S. T., Trento, Italy
  • Author Name: Alessandro Zorat
    Affiliation: Istituto di Informática, University of Trento, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37353344900
    ID: 37353344900
    Order: 2
    Author Affiliations:
    • Istituto di Informática, University of Trento, Trento, Italy

Image Sensor

• sensor_type: CMOS
• resolution: 32x32 pixels
• dynamic_range: Not explicitly stated in the text
• pixel_size: Not explicitly stated; informed by sensor dimensions
• dark_current: Not explicitly stated in the text

Optical Data

• focal_length: Not applicable or not stated; chip details focus on sensor characteristics rather than optics
• aperture: Not applicable or not stated; paper does not provide lens details
• field_of_view: Not applicable or not stated; the focus is on sensor architecture
• distortion: Not applicable or not stated; no optical distortion is mentioned

Performance Metrics

• frame_rate: 30 frames per second
• signal_to_noise_ratio: Not explicitly stated in the text
• sensitivity: Not explicitly stated; likely low due to the 32x32 resolution
• shutter_speed: Not explicitly stated in the text; mention of integration time of photodiodes
• power_consumption: Not explicitly stated but implies efficiency due to CMOS technology
• noise: Not explicitly stated; mentions of fixed-pattern noise and other noise types in general context but no specific values given.

Applications & Benefits

• cell_imaging: The paper does not explicitly mention cell imaging but focuses on real-time processing and computer vision applications; suggested uses include edge detection and image recognition.
• benefits: Real-time image processing capabilities and programmability, suitable for computational tasks in machine vision.

Supporting Organizations

• supported_by: C.N.R. through grant 90.00326.PF6, with acknowledgments to several contributors in the design and fabrication efforts.

Manuscript Details

• publication_date: 11-13 Sept. 1991

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

request_6c772a2d-c839-485e-af95-039e7f92431b-a_smart_image_sensor_for_computer_vision.json