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ISSN 2063-5346
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Machine Learning-based Sensory Substitution System for the Visually Impaired

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R. Indumathi ,Dr.N.Palanivel, P. Ajay , R. Kamalesh , G. Vignesh , P.Naveen Kumar
» doi: 10.48047/ecb/2023.12.si4.1044

Abstract

Millions of individuals throughout the world have some degree of visual impairment, according to the World Health Organization (WHO), and they encounter several difficulties in distinguishing people nearby and spotting obstructions like staircase, ponds, rivers and some indoor obstacles that is things in their home. Information technology has advanced quickly, but so too has the spatial cognition theory for blind and visually impaired (BVI) persons, creating new opportunities to help them to overcome above stated difficulties that is faced by them so far. We came up with an idea to help them and thus providing visually impaired persons to feel comfortable with their surroundings on their own without others help. This prototype thus extends the idea of providing them with a straightforward and economical solution via artificial vision. Through the application of AI, a unique framework has been provided in this research, making it easier for those with visual impairments to use and benefiting society as a whole. We created a sophisticated solution for visually challenged individuals using newer technologies like machine learning which is a subset of artificial intelligence and we have used some famous sensors like ultrasonic sensor to detect staircase around blind people. This could help visually impaired person to detect obstacles and persons around them.

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