Asic Vision

• doi: 10.1109/CICC.1990.124680
• title: ASIC vision
• publisher: IEEE
• isbn:
• issn:
• rank: 1365
• access_type: LOCKED
• content_type: Conferences
• abstract: Advances in VLSI vision sensor design that enable high-quality, analog images to be formed through devices fabricated using standard 5 V CMOS ASIC processes are reported. The potential for integrating mixed sensor-processor systems, using an integrated VLSI camera system as an example, is reported. The feasibility of the techniques is confirmed by results obtained from working prototype CMOS sensor arrays. It is believed that the methods and results demonstrated can form the basis of a first generation of cost-effective ASIC vision products.<>
• article_number: 124680
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=124680
• html_url: https://ieeexplore.ieee.org/document/124680/
• abstract_url: https://ieeexplore.ieee.org/document/124680/
• publication_title: IEEE Proceedings of the Custom Integrated Circuits Conference
• conference_location: Boston, MA, USA
• conference_dates: 13-16 May 1990
• publication_number: 140
• is_number: 3519
• publication_year: 1990
• publication_date: 13-16 May 1990
• start_page: 7.3/1
• end_page: 7.3/4
• citing_paper_count: 17
• citing_patent_count: 20
• download_count: 158
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Application specific integrated circuits
    • Sensor arrays
    • CMOS image sensors
    • CMOS process
    • Photodiodes
    • Biosensors
    • Intelligent sensors
    • Very large scale integration
    • Sensor systems
    • Prototypes
  • dynamic_index_terms:
    • Photodiode
    • Video Camera
    • Peak-to-peak
    • Camera System
    • Sensor Array
    • End Of The Paper
    • Single Camera
    • Single Chip
    • Vertical Shift
    • Vertical Translation
    • Shift Register
    • Pixel Pitch
    • Sensor Pixel
    • Sensor Prototype
    • Sense Amplifier
    • University Of Edinburgh
• authors:
  • Author Name: D. Renshaw
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37273758100
    ID: 37273758100
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
  • Author Name: P.B. Denyer
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37328579600
    ID: 37328579600
    Order: 2
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
  • Author Name: G. Wang
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37069959200
    ID: 37069959200
    Order: 3
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
  • Author Name: M. Lu
    Affiliation: Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK
    Author URL: https://ieeexplore.ieee.org/author/37089099101
    ID: 37089099101
    Order: 4
    Author Affiliations:
    • Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: not specified
• pixel_size: not specified
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

Applications & Benefits

• cell_imaging: relevant for medical devices
• benefits: enables digital imaging in various applications like smartphones, medical devices, and automotive systems

Supporting Organizations

• supported_by: not specified

Manuscript Details

• publication_date: 13-16 May 1990

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • supported_by
  • authors
  • publication_date

Processed JSON Filename

request_1734c3a4-1bd7-4cae-8b6b-d8662903e0a0-asic_vision.json