Assistive Technologies for People Who Are Blind

Globally, millions of individuals with visual impairments face significant challenges in navigation and independence. Traditional white canes, while helpful, offer limited assistance in complex environments. Accessible tech, once effective, often turns commercial with hefty prices. This hits harder due to the high unemployment rate among the visually impaired.

Our goal is to leverage computer vision and AI to co-design the next-generation of accessible technologies with people who are blind, focusing on affordable design and open-source software, thereby enabling community-driven development and widespread impact.

Project Team

Project Lead:

Project Affiliates:

Sangita Kunapuli

BS/MS Student

Kanav Arora

Research Assistant

Deniz Lapsekili

Research Assistant

Principal Investigator:

Michael Beyeler

Assistant Professor


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