Sample indoor sign showing automatic detection in yellow

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

  • L to R: Huiying Shen, Ali Cheraghi, Brandon Biggs, James Coughlan, Charity Pitcher-Cooper, Giovanni Fusco

    Coughlan Lab

    The goal of our laboratory is to develop and test assistive technology for blind and visually impaired persons that is enabled by computer vision and other sensor technologies.

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