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.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
5R44EY011821-03
Application #
6832762
Study Section
Special Emphasis Panel (ZEY1-VSN (02))
Program Officer
Wujek, Jerome R
Project Start
2003-12-01
Project End
2006-11-30
Budget Start
2004-12-01
Budget End
2005-11-30
Support Year
3
Fiscal Year
2005
Total Cost
$461,157
Indirect Cost
Name
Blindsight Corporation
Department
Type
DUNS #
014447945
City
Berkeley
State
CA
Country
United States
Zip Code
94704