Developments In Smart Custom Vlsi Sensing For Industrial Automata

• doi: 10.1049/cp:19950706
• title: Developments in 'smart' custom VLSI sensing for industrial automata
• publisher: IET
• isbn: 0-85296-642-3
• issn:
• rank: 2276
• access_type: LOCKED
• content_type: Conferences
• abstract: Visual guidance of robots for assembly tasks is the 'Cinderella' of industrial machine vision applications, lagging far behind automated visual inspection, gauging and part recognition/orientation in achieving its potential within the industrial scene. A prototype binary edge-extracting ('smart') custom image sensor array, 'Edge1', was developed previously at the University of Brighton. It featured a 32*32 array with a unique unit cell architecture, featuring a diode photo-site, and associated processing circuitry capable of performing binary edge detection within the focal plane of the sensor. It was implemented in a 2 micron ES2 CMOS process and featured 72 I/O pins because of its total lack of on-chip support circuitry. Thus, although the total die area was only 6.65 square mm, it required an 84 pin grid array package of around 26 mm square. A number of detail changes were suggested by testing this prototype and many of these have been tested in a 1.5 micron ES2 CMOS reimplementation of this design, 'Edge 2'. Implemented in 1 micron ES2 CMOS it features a resolution of 64*64, as this is considered to be the optimum compromise between useful spatial resolution, speed and simplicity of data transfer and postsensor processing.<>
• article_number: 465490
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=465490
• html_url: https://ieeexplore.ieee.org/document/465490/
• abstract_url: https://ieeexplore.ieee.org/document/465490/
• publication_title: Fifth International Conference on Image Processing and its Applications, 1995.
• conference_location: Edinburgh
• conference_dates: 4-6 July 1995
• publication_number: 3238
• is_number: 9764
• publication_year: 1995
• publication_date: 4-6 July 1995
• start_page: 485
• end_page: 489
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 45
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Application specific integrated circuits
    • CMOS integrated circuits
    • Image edge analysis
    • Image sensors
    • Robot vision systems
    • Very-large-scale integration
  • dynamic_index_terms:
    • Prototype
    • Spatial Resolution
    • Image Processing
    • Image Acquisition
    • Low Resolution
    • Focal Plane
    • Back Focal Plane
    • Image Sensor
    • Camera Sensor
    • State Machine
    • Finite State Machine
    • Finite-state
    • Edge Detection
    • Control Logic
    • Standard Camera
    • Shift Register
    • Output Series
    • Serial Output
    • Visual Servoing
    • Photonic Integration
• isbn_formats:
  • format: Print ISBN, value: 0-85296-642-3, isbnType: Historical
• authors:
  • Author Name: G.J. Awcock
    Affiliation: University of Brighton, UK
    Author URL:
    ID:
    Order: 1
    Author Affiliations:
    • University of Brighton, UK
  • Author Name: M.T. Rigby
    Affiliation: University of Brighton, UK
    Author URL:
    ID:
    Order: 2
    Author Affiliations:
    • University of Brighton, UK

Image Sensor

• sensor_type: CMOS
• resolution: 64x64
• 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: Not specified
• benefits: The Edge3 sensor aims to provide robust performance in low contrast scenes and reduce computational requirements for robotic guidance.

Supporting Organizations

• supported_by: University of Brighton, UK

Manuscript Details

• publication_date: 4-6 July 1995

Relevancy Score

• score: 8
• missing_fields:
  • 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
  • cell_imaging
  • benefits

Processed JSON Filename

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