Virtual Assistant and Navigation for Visually Impaired using Deep Neural Network and Image Processing

Abstract

Abstract The quick development of technology promotes the use of the resources that are at hand to make simpler daily tasks and improve the standard and quality of life for those who are blind. This module suggests creating a system of virtual assistant glasses to help the visually impaired navigate around them. An obstacle detection module built into the device uses computer vision to find obstacles and inform the user through haptic feedback. The system also has a text recognition module that can turn any text it identifies into speech that the user can hear using built-in speakers in the user's glasses. Users are now able to access to printed materials like menus and signs in a way that was not previously feasible. A sign board recognition module, which converts text on signs into speech, is also part of the system. The proposed approach has the potential to enhance the liberty and standard of existence of blind individuals through integrating these attributes in a wearable device.