
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
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
The goal of the project is to develop a “ZoomBoard” system that students with low vision can use to better access visual material on a whiteboard or blackboard. The prototype version of the system that we plan to develop in this grant will consist of a dedicated camera system placed by the teacher to capture a view of the board, which wirelessly transmits a video stream that will be displayed on a student’s iPad. The student will use the ZoomBoard app to view this video stream, zoom in on any region of interest using a pinch gesture on the iPad, and apply image enhancements such as contrast…