Student Work

Indoor Navigation for Blind Individuals Using Computer Vision & Machine Learning

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Navigating the world with impaired vision is a challenging and hard-to-imagine task. To address this challenge, our team created a smartphone app that would alleviate struggles encountered when traversing indoor spaces. The app was created by utilizing a machine learning model, named D2GO, which helps to detect objects with the use of a smartphone camera. Using D2GO, our team was able to develop an app that can both detect and guide users around other people and obstacles within an indoor space. This app will serve as a framework for a navigational aid that can be further developed by future R&D teams.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Last modified
  • 2022-11-21
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Subject
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Language
  • English
Identifier
  • E-project-042022-170437
  • 26971
Keyword
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Year
  • 2022
Center
Sponsor
UN Sustainable Development Goals
Date created
  • 2022-04-20
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