Online Archive of University of Virginia Scholarship
Understanding Computer Vision Through Optical Character Recognition and Blind-Assistive Technology271 views
Author
Tian, Erick, School of Engineering and Applied Science, University of Virginia
Advisors
Basit, Nada, EN-Comp Science Dept, University of Virginia
Abstract
Visual disabilities are on the rise in the United States, with increasing cases of adult-onset blindness. This paper covers both a technical and STS perspective on this issue, through the creation of Blind-Assistive Technology, as well as an analysis of how diabetic patients in Florida are impacted by visual impairment. Tools such as navigational aids and optical character recognition serve as a way to enable individuals through evolving technology. However, in order to use and create technology for better accessibility, it is important to understand the Social Construction of Technology that shapes not just the product itself, but also the opinions of all affected actors, which can be seen in the development of Florida’s diabetic patient care. Through a complete, holistic view of how technology is created and modified over time, we can create the foundations for more efficient advancement of technology as a product and a tool.
Tian, Erick. Understanding Computer Vision Through Optical Character Recognition and Blind-Assistive Technology. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2022-05-11, https://doi.org/10.18130/0g5w-8887.
