
The goal of our laboratory is to develop and test access technology for blind and visually impaired persons that is enabled by computer vision and other sensor technologies.
The goal of our laboratory is to develop and test access technology for blind and visually impaired persons that is enabled by computer vision and other sensor technologies.
CamIO (short for “Camera Input-Output”) is a system to make physical objects (such as documents, maps, devices and 3D models) accessible to blind and visually impaired persons, by providing real-time audio feedback in response to the location on an object that the user is touching. CamIO currently works on iOS using the built-in camera and an inexpensive hand-held stylus, made out of materials such as 3D-printed plastic, paper or wood.
See a short video demonstration of CamIO here, showing how the user can trigger audio labels by pointing a stylus at "hotspots" on a 3D map of a playground. See…
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
Tactile graphics use raised lines, textures, and elevations to provide individuals with visual impairments access to graphical materials through touch. Tactile graphics are particularly important for students in science, technology, engineering, and mathematics (STEM) fields, where educational content is often conveyed using diagrams and charts. However, providing a student who has a visual impairment with a tactile graphic does not automatically provide the student access to the graphic's educational content. Instead, the student may struggle to decipher subtle differences between textures or…
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…
The Smith-Kettlewell Video Description Research and Development Center (VDRDC) investigates innovative technologies and techniques for making online video more accessible to blind and visually-impaired students and consumers. Through collaboration with a broad array of partners and stakeholders in the Description Leadership Network, we are developing advanced video annotation methods for use in a wide variety of educational settings, as well as helping educators and other description providers make better use of the tools already available.