Navigate-Me: Secure voice authenticated indoor navigation system for blind individuals

Abstract

The majority of blind people require assistance when navigating through unfamiliar places due to a lack of information about the building structure and encounterable obstacles. To address this aspect of the problem, this paper presents "Navigate-Me" as an approach for indoor navigation with maximum accessibility, usability, and security, reducing the problems that the user might encounter while navigating through indoor environments. As the targeted audience of this paper is blind or visually impaired people, Navigate-Me utilizes voice-based inputs from the user. In addition, this paper includes Bluetooth beacon integration for localization, White Cane with sensors for obstacle detection, a machine learning model for voice authentication, and an algorithm protocol for a secure connection between server and application integration-driven architecture to assist the visually impaired in navigating known and unknown indoor environments.