GRENZE International Journal of Engineering and Technology
Vol. 9
(2023), Issue 1
Third Eye: TTS and Deep Learning-based Assistive Technology for Blind
Authors
Asrarulhaq Maktedar, Prathima M N
Abstract
According to the World Health Organization (WHO), more than 2.2 billion people throughout the globe are affected by some kind of visual impairment, either in their near or distant vision. Over 12 million people in India are affected by blindness, making it the country with the largest blind population in the world. Traditional techniques, on the other hand, are more difficult and costly to change, and most of the time, blind people end up needing to move about by gripping a wooden stick. People who are blind have very restricted access, or none at all, to any of the many intelligent devices that are presently on the market across the world. The project's objective is to find solutions to the issues so that a blind person using an android application called Smart Third Eye would be able to go to a variety of sites independently. This project assists blind people in recognizing the items that are in their immediate environment and enables them to determine the kind of object with the use of a Deep Neural Network and YOLO. The other objective of the research is to help blind person to use voice instructions to travel to various locations. They also have the option of using voice assistants to make phone calls, and their caretakers are able to monitor their whereabouts using GPS technology and different sensors.
Pages:
115 - 122