A Dual Pixeltype Imager For Imaging And Motion Centroid Localization

• doi: 10.1109/ISCAS.2001.921357
• title: A dual pixel-type imager for imaging and motion centroid localization
• publisher: IEEE
• isbn: 0-7803-6685-9
• issn:
• partnum: 01CH37196
• rank: 1050
• access_type: LOCKED
• content_type: Conferences
• abstract: An imager chip has been designed, fabricated, and tested having two unique pixel types interleaved on the same array. The dual-pixel design enables optimization for two separate tasks. One type of pixel is an Active Pixel Sensor (APS), which is used to produce a low-noise image. The other type is a custom-designed pixel optimized for computing the centroid of a moving object in the scene. The APS array is 120 columns/spl times/36 rows, with a pixel size of 14.7 /spl mu/m/spl times/14.7 /spl mu/m. The centroid array has 60 columns and 36 rows, with a larger pixel size of 29.4 /spl mu/m/spl times/29.4 /spl mu/m. The chip was fabricated using standard scalable rules on a 0.7 /spl mu/m CMOS process, with one polysilicon layer, 3 metal layers, and a linear capacitor layer. APS images were taken at a frame rate of 30 fps, and centroid data was taken at a rate of 180 (x,y) coordinates per second. The chip consumed 3.2 mW.
• article_number: 921357
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=921357
• html_url: https://ieeexplore.ieee.org/document/921357/
• abstract_url: https://ieeexplore.ieee.org/document/921357/
• publication_title: ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196)
• conference_location: Sydney, NSW, Australia
• conference_dates: 6-9 May 2001
• publication_number: 7344
• is_number: 19927
• publication_year: 2001
• publication_date: 6-9 May 2001
• start_page: 501
• end_page: 504 vol. 2
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 102
• insert_date: 20020807
• index_terms:
  • ieee_terms:
    • Pixel
    • Image quality
    • CMOS process
    • Image sensors
    • Layout
    • CMOS image sensors
    • Charge coupled devices
    • CMOS technology
    • Circuit noise
    • Switches
  • dynamic_index_terms:
    • Active Sensors
    • Objects In The Scene
    • Separate Tasks
    • Types Of Pixels
    • Image Chips
    • Square Root
    • Image Quality
    • Circuitry
    • Focal Plane
    • Back Focal Plane
    • Light Levels
    • Light Changes
    • Fill Factor
    • Switching Voltage
    • Brightness Changes
    • Pixel Array
    • Centroid Coordinates
    • Coordinates Of Centroids
    • Shift Register
    • Photocurrent Increases
    • Column Array
    • Pixel Column
    • Reset Voltage
• isbn_formats:
  • format: Print ISBN, value: 0-7803-6685-9, isbnType: Historical
• authors:
  • Author Name: M. Clapp
    Affiliation: Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/38274910900
    ID: 38274910900
    Order: 1
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
  • Author Name: R. Etienne-Cummings
    Affiliation: Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/38271387300
    ID: 38271387300
    Order: 2
    Author Affiliations:
    • Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA

Image Sensor

• sensor_type: CMOS
• resolution: APS: 120x36, Centroid: 60x36
• dynamic_range: 43dB
• pixel_size: 14.7µm x 14.7µm (APS), 29.4µm x 29.4µm (Centroid)
• dark_current: N/A

Optical Data

• focal_length: N/A
• aperture: N/A
• field_of_view: N/A
• distortion: N/A

Performance Metrics

• frame_rate: 30fps (APS), 180 coordinates/s (Centroid)
• signal_to_noise_ratio: 43dB (APS)
• sensitivity: N/A
• shutter_speed: N/A
• power_consumption: 3.2mW
• noise: <0.6% pixel-to-pixel (dark), 0.7% column-to-column (dark), 0.7% pixel-to-pixel (half scale light), 1.2% column-to-column (half scale light)

Applications & Benefits

• cell_imaging: N/A
• benefits: Lower power consumption, lower fabrication costs, ability to integrate processing tasks on the same chip.

Supporting Organizations

• supported_by: NSF ERC on Computer Integrated Surgical Systems and Technology at Johns Hopkins University

Manuscript Details

• publication_date: 6-9 May 2001

Relevancy Score

• score: 10

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