Wide Dynamic Range Highspeed Machine Vision With A 2256 Pixel Temporal Contrast Vision Sensor

• doi: 10.1109/ISCAS.2007.378266
• title: Wide dynamic range, high-speed machine vision with a 2×256 pixel temporal contrast vision sensor
• publisher: IEEE
• isbn: 1-4244-0921-7
• issn: 2158-1525
• partnum: 07CH37868
• rank: 4008
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper presents a 2×256 pixel dual-line temporal contrast vision sensor and the use of this sensor in exemplary high-speed machine vision applications over a wide range of target illumination. The sensor combines an asynchronous, data-driven pixel circuit with an on-chip precision time-stamp generator and a 3-stage pipelined synchronous bus-arbiter. With a temporal resolution of down to 100ns, corresponding to a line rate of 10MHz, the sensor is ideal for high-speed machine vision tasks that do not rely on conventional image data. The output data rate depends on the dynamic contents of the target scene and is typically orders of magnitude lower than equivalent data output produced by conventional clocked line sensors in this type of applications. 120dB dynamic range makes high-speed operation possible at low lighting levels or uncontrolled lighting conditions. The sensor features two parallel pixel lines with a line separation of 250μm and a pixel pitch of 15μm. A prototype was fabricated in a standard 0.35μm CMOS technology. Results on high-speed edge angle resolution and edge gradient extraction as well as wide dynamic range operation are presented.
• article_number: 4252856
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4252856
• html_url: https://ieeexplore.ieee.org/document/4252856/
• abstract_url: https://ieeexplore.ieee.org/document/4252856/
• publication_title: 2007 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: New Orleans, LA, USA
• conference_dates: 27-30 May 2007
• publication_number: 4252534
• is_number: 4252535
• publication_year: 2007
• publication_date: 27-30 May 2007
• start_page: 1196
• end_page: 1199
• citing_paper_count: 7
• citing_patent_count: 0
• download_count: 264
• insert_date: 20070625
• index_terms:
  • ieee_terms:
    • Dynamic range
    • Machine vision
    • CMOS technology
    • Lighting
    • Circuits
    • Synchronous generators
    • Image resolution
    • Image sensors
    • Layout
    • Clocks
  • dynamic_index_terms:
    • Dynamic Range
    • Machine Vision
    • Visual Navigation
    • High-speed Machine
    • High-speed Vision
    • Synchronization
    • Imaging Data
    • Light Conditions
    • Output Data
    • Yield Data
    • Use Of Sensors
    • Angle Of Resolution
    • Low Light Levels
    • Conventional Lines
    • Pixel Pitch
    • High-speed Applications
    • Edge Angle
    • Pixel Line
    • Information Content
    • Surprisal
    • Angle Measurements
    • Arbitration
    • Low Latency
    • Time Stamp
    • Gradient Orientation
    • Illumination Changes
    • Mobile System
    • Neutral Density Filter
• isbn_formats:
  • format: CD, value: 1-4244-0921-7, isbnType: Historical
  • format: Print ISBN, value: 1-4244-0920-9, isbnType: Historical
• authors:
  • Author Name: C. Posch
    Affiliation: Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37394392300
    ID: 37394392300
    Order: 1
    Author Affiliations:
    • Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
  • Author Name: M. Hofstatter
    Affiliation: Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37400017100
    ID: 37400017100
    Order: 2
    Author Affiliations:
    • Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
  • Author Name: M. Litzenberger
    Affiliation: Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37332024400
    ID: 37332024400
    Order: 3
    Author Affiliations:
    • Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
  • Author Name: D. Matolin
    Affiliation: Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37267061200
    ID: 37267061200
    Order: 4
    Author Affiliations:
    • Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
  • Author Name: N. Donath
    Affiliation: Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37660153300
    ID: 37660153300
    Order: 5
    Author Affiliations:
    • Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
  • Author Name: P. Schon
    Affiliation: Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/37400016500
    ID: 37400016500
    Order: 6
    Author Affiliations:
    • Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
  • Author Name: H. Garn
    Affiliation: Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria
    Author URL: https://ieeexplore.ieee.org/author/38497610400
    ID: 38497610400
    Order: 7
    Author Affiliations:
    • Neuroinformatics, ARC Seibersdorf research GmbH, Vienna, Austria

Image Sensor

• sensor_type: CMOS
• resolution: 2×256 pixels
• dynamic_range: > 120dB
• pixel_size: 15µm x 165µm
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: f/1.4
• field_of_view: ~12cm diameter
• distortion: not specified

Performance Metrics

• frame_rate: 10MHz (max output rate 20·10^6 events per second)
• power_consumption: max 250mW @ 3.3V

Applications & Benefits

• cell_imaging: The sensor is suitable for high-speed machine vision tasks to detect and capture precise information about edges in moving objects.
• benefits: Wide dynamic range enables operation under low-lighting conditions with reduced data redundancy.

Supporting Organizations

• supported_by: T. Delbruck and P. Lichtsteiner of ETH Zürich

Manuscript Details

• publication_date: 27-30 May 2007

Relevancy Score

• score: 9
• missing_fields:
  • quantum_efficiency
  • readout_speed
  • noise_sources
  • analog_to_digital_conversion
  • microlenses
  • on_chip_colour_filters
  • shutter_type
  • backside_illumination

Processed JSON Filename

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