Sign Finder: Computer Vision to Find and Read Signs

Information

  • Research Project
  • 6832762
  • ApplicationId
    6832762
  • Core Project Number
    R44EY011821
  • Full Project Number
    5R44EY011821-03
  • Serial Number
    11821
  • FOA Number
    RFA-EY-02-02
  • Sub Project Id
  • Project Start Date
    12/1/2003 - 21 years ago
  • Project End Date
    11/30/2006 - 18 years ago
  • Program Officer Name
    WUJEK, JEROME R
  • Budget Start Date
    12/1/2004 - 20 years ago
  • Budget End Date
    11/30/2005 - 19 years ago
  • Fiscal Year
    2005
  • Support Year
    3
  • Suffix
  • Award Notice Date
    12/30/2004 - 20 years ago

Sign Finder: Computer Vision to Find and Read Signs

DESCRIPTION (provided by applicant): We propose to build a device that enhances the mobility of visually impaired persons by finding and reading signs aloud without the need for infrastructure beyond ordinary signs. Using new computer vision techniques, it will detect and read text in images captured by a camera worn like a pendant around the user's neck. We will build two commercially viable, self-contained consumer versions, a $1,500 device using consumer computers and cameras, and a $750 proprietary device. In typical use, a wearer will select a mode (city street, supermarket) by pressing buttons and optionally speaking commands, and then either point the device at a scene, or scan the scene using auto-repeat image capture. The device will find and read signs, but only output audio for signs relevant to the mode. The Phase II work plan has three tracks: 1) Computer vision software development and testing, 2) Human interface design and development, and 3) development and testing of the two forms of the device. Continuing our collaboration from Phase I, we use Smith-Kettlewell's Rehabilitation Engineering Research Center's expertise for human factors. Bolton Engineering will design and build the proprietary device hardware.

IC Name
NATIONAL EYE INSTITUTE
  • Activity
    R44
  • Administering IC
    EY
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    461157
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    867
  • Ed Inst. Type
  • Funding ICs
    NEI:461157\
  • Funding Mechanism
  • Study Section
    ZEY1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    BLINDSIGHT CORPORATION
  • Organization Department
  • Organization DUNS
  • Organization City
    BERKELEY
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    947081615
  • Organization District
    UNITED STATES