
Blind Assistance System using Image Processing
Author(s) -
P. Rama Devi,
K. Sahaja,
S. Santrupth,
M. P. Tony Harsha,
K. Balasubramanyam Reddy
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41102
Subject(s) - blindness , visual impairment , task (project management) , computer science , partially sighted , change blindness , human–computer interaction , artificial intelligence , computer vision , psychology , optometry , visually impaired , medicine , engineering , systems engineering , psychiatry , change detection
Eye diseases usually cause blindness and visual impairment. According to the World Health Organization, around 40 million people are blind, while another 250 million have some form of visual impairment. They come across many troubles in their daily life, especially while navigating from one place to another on their own. They often depend on others for help to satisfy their day-to-day needs. So, it is quite a challenging task to implement a technological solution to assist them. Several technologies have been developed for the assistance of visually impaired people. One such attempt is that we would wish to make an Integrated Machine Learning System that allows the blind victims to identify and classify real-time objects generating voice feedback and distance. Which also produces warnings whether they are very close or far away from the thing. Keywords: Blindness, Visual impairment, Machine Learning, Real-time objects