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.

Creator

• Chen, Hao
• Leach, Kelsey
• Mather, Samuel
• Demirs, Alexander
• Winship, John

Subject

• Community
• Energy
• Environment
• Sustainability

Publisher

• Worcester Polytechnic Institute

Language

• English

Identifier

• E-project-042022-170437
• 26971

Stichwort

• App
• Germany
• Indoor
• Navigation
• Russia
• Blind

Advisor

• Nikitina, Svetlana
• Mardilovich, Ivan P.

Year

• 2022

Center

• Moscow, Russia Project Center - IQP

Sponsor

• Financial University Under the Government of the Russian Federation

UN Sustainable Development Goals

• 9 - Industry, Innovation and Infrastructure

Date created

• 2022-04-20

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright

Zuletzt geändert

• 2022-11-21