Addressevent Image Sensor Network

• doi: 10.1109/ISCAS.2006.1692745
• title: Address-event image sensor network
• publisher: IEEE
• isbn: 0-7803-9389-9
• issn: 2158-1525
• partnum: 06CH37717C
• rank: 1405
• access_type: LOCKED
• content_type: Conferences
• abstract: We describe a sensor network based on smart imager sensors able to extract events of interest from a scene. We present a framework towards the use of image sensors for realizing sensor networks that can interpret behaviors in physical space. An array of heterogeneous event-based CMOS imagers is employed at front-end, to convert light intensity, motion and other vision primitives into pulse-density modulated stream of address-events. The wireless nodes are Yale XYZ motes employing high data rate communication and large processing capabilities. Energy-aware communication is implemented at the sensor level by employing an event-based readout with pixel-level filtering capability. This paper provides an overview of the research challenges followed by a brief description of our current research efforts towards creating a functional experimental system for investigating these intelligent networks
• article_number: 1692745
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1692745
• html_url: https://ieeexplore.ieee.org/document/1692745/
• abstract_url: https://ieeexplore.ieee.org/document/1692745/
• publication_title: 2006 IEEE International Symposium on Circuits and Systems
• conference_location: Kos, Greece
• conference_dates: 21-24 May 2006
• publication_number: 11145
• is_number: 35661
• publication_year: 2006
• publication_date: 21-24 May 2006
• start_page: 4 pp.
• end_page:
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 88
• insert_date: 20060911
• index_terms:
  • ieee_terms:
    • Image sensors
    • Intelligent sensors
    • Sensor phenomena and characterization
    • Pulse modulation
    • Layout
    • Optical arrays
    • CMOS image sensors
    • Image converters
    • Intensity modulation
    • Optical modulation
  • dynamic_index_terms:
    • Sensor Networks
    • Image Sensor
    • Camera Sensor
    • Light Intensity
    • Physical Space
    • Behavior In Space
    • Prototype
    • Image Processing
    • Power Consumption
    • Kalman Filter
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Large Array
    • Individual Nodes
    • Large Dynamic Range
    • CMOS Process
    • Analog Devices
    • Commercial Off-the-shelf
    • Camera Module
• isbn_formats:
  • format: Print ISBN, value: 0-7803-9389-9, isbnType: Historical
• authors:
  • Author Name: E. Culurciello
    Affiliation: E-Laboratory, Yale University, New Heaven, CT, USA
    Author URL: https://ieeexplore.ieee.org/author/37268496400
    ID: 37268496400
    Order: 1
    Author Affiliations:
    • E-Laboratory, Yale University, New Heaven, CT, USA
  • Author Name: A. Savvides
    Affiliation: Embedded Networks and Applications Laboratory, Yale University, New Heaven, CT, USA
    Author URL: https://ieeexplore.ieee.org/author/37298456600
    ID: 37298456600
    Order: 2
    Author Affiliations:
    • Embedded Networks and Applications Laboratory, Yale University, New Heaven, CT, USA

Image Sensor

• sensor_type: CMOS
• resolution: 32x32 pixels
• dynamic_range: large
• pixel_size: 0.6 µm
• 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: 7.6K events/s
• power_consumption: 5.75 µW per quadrant, scaling to 60 µW for VGA size

Applications & Benefits

• cell_imaging: used in real-time operation and recognition of behaviors in scenes.
• benefits: Ultra-low power consumption and large dynamic range.

Supporting Organizations

• supported_by: Yale University, National Science Foundation

Manuscript Details

• publication_date: 21-24 May 2006

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

request_d9e461cf-5bdf-4dbb-ad81-dc63aa090bed-addressevent_image_sensor_network.json