Publication Type : Book Chapter
Publisher : IEEE
Source : 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Url : https://ieeexplore.ieee.org/abstract/document/10308142
Campus : Amritapuri
School : School of Computing
Year : 2023
Abstract : People who are visually impaired experience many difficulties completing daily duties and need technology solutions to enhance their quality of life. This study proposes to build a mobile application using deep learning and the Flutter framework to help visually impaired individuals perform their daily tasks. The application includes object detection, currency recognition, image-to-text conversion, and text-to-speech ability. It has features like vibrations on screen swiping and larger buttons for easy navigation. The suggested system operates online and in real-time, making it possible to utilize it without an Internet connection. The study emphasizes the need of addressing the difficulties faced by those who are blind and the requirement for technical solutions to help them in their everyday routines.
Cite this Research Publication : Luke, Alan Koshy, R. Adithya Kumar, VG Uday Krishnan, S. Abhishek, and T. Anjali. "Envision: Assistance System for the Visually Impaired." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-8. IEEE, 2023.