This report discusses a proposed solution to indoor navigation for blind and visually impaired people in Russia. Utilization of built-in smartphone cameras and sensors as well as machine learning led to the investigation of a solution in the form of an iOS application. Implementation of a smartphone application as a navigation technology has been researched, decided on and worked on as a collaborative effort with a team from the Financial University under the Government of the Russian Federation, the Eurasian Peoples’ Assembly, the Center for Sociocultural Rehabilitation of Diana Gurtskaya, and the Udmurt Regional Children’s Public Organization.

• 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

• Miholovich, Connor J.
• Boyea, Samantha M.
• Carling, Arden S.
• Allen, Maranda M.

Subject

• Innovation
• Health
• Learning
• Computing
• Community
• Inclusion
• Well-Being
• Culture

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-051221-141240
• 24066

Keyword

• Navigation
• Indoor
• Visually impaired
• Blind
• Obstacle avoidance
• Application

Advisor

• Oates, Karen Kashmanian
• Mardilovich, Ivan P.

Year

• 2021

Center

• Moscow, Russia Project Center - IQP

Sponsor

• Center for Sociocultural Rehabilitation of Diana Gurtskaya
• Financial University under the Government of the Russian Federation
• Eurasian Peoples' Assembly
• Udmurt Regional Children’s Public Organization

UN Sustainable Development Goals

• 3 - Good Health and Well-being
• 10 - Reducing Inequality

Date created

• 2021-05-12

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright

Last modified

• 2021-08-29