Medical Recognizance For The Visually Impaired Using Convolutional Neural Networks

Abstract

Providing blind persons with adequate
access to their surroundings is a pressing issue that
has to be addressed. There are a number of
challenges that modern assistive technology poses,
which restrict the activities that persons who are
visually impaired are able to participate in on a daily
basis. These specific aids do not live up to the
expectations of the customers, and owing to the
exorbitant price tags, they are no longer within the
financial grasp of some segments of the population.
As part of this project, we provide a solution that
makes use of smart glasses to assist visually impaired
persons in identifying drugs. Our goal is to address
some of the limitations that are associated with the
visual aids that are now available. It is possible to
read the name of the medication by using the smart
glass technology, which operates by sending acoustic
impulses via the headphones. Defining the name of
the medicine is accomplished by the smart glass
system via the use of a convolutional neural network.