Leveraging openFDA and Image Stitching to Build a Label Reader for Visually Impaired

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Leveraging openFDA and Image Stitching to Build a Label Reader for Visually Impaired

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2022-01

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This project is part of my Undergraduate Research Scholarship at the University of Minnesota under Prof. Maria Gini. Globally, at least 2.2 billion people have a near or distance vision impairment. By 2050, in the US, figures are projected to double to approximately 2.01 million people who are blind, 6.95 million people with VI (visual impairment), and 16.4 million with VI due to uncorrected refractive error. Most of the technology in today's world is geared towards able-people, and living in an age where everything is uber-connected, this can pose serious accessibility challenge to those who are visually impaired. After interviewing different users and conducting our research, we are leveraging openFDA, Image Stitching and Text Recognition to develop a label scanner for pill bottles.

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This research was supported by the Undergraduate Research Scholarship (URS).

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Mahajan, Rijul. (2022). Leveraging openFDA and Image Stitching to Build a Label Reader for Visually Impaired. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/226275.

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