Sign Finder
This project seeks to develop a computer vision-based system that allows a visually impaired traveler to find and read informational signs, such as signs labeling office doors, streets, restrooms and Exit signs.
Link to open source code
Tabs
Other Publications
. (2012). Towards a real-time system for finding and reading signs for visually impaired users. In Computers Helping People with Special Needs (pp. 41–47). Springer Berlin Heidelberg.
. (2016). Sign Finder Application - Technical Report.
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Rehabilitation Engineering Research Center
Read MoreThe Center's research goal is to develop and apply new scientific knowledge and practical, cost-effective devices to better understand and address the real-world problems of blind, visually impaired, and deaf-blind consumers
Current
- Ender Tekin - Associate Scientist at The University of Wisconsin-Madison
- Giovanni Fusco - Senior Computer Vision Engineer, Pixofarm
- Huiying Shen - Staff
- James Coughlan - Senior Scientist - Coughlan Lab Director
