Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3297
Title: Real-time Smart Navigation System for Visually Impaired People
Authors: Sudaraka Keshara, S.R.D.
Weragoda, W.R.J.M.
Chandrasiri, S
Ellankovan, J
Madushan, W.A
Keywords: Real-time Smart
Navigation System
Visually Impaired
Impaired People
Issue Date: 9-Dec-2022
Publisher: IEEE
Citation: S. R. D. Sudaraka Keshara, W. R. J. M. Weragoda, S. Chandrasiri, J. Ellankovan and W. A. Madushan., "Real-time Smart Navigation System for Visually Impaired People," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 476-481, doi: 10.1109/ICAC57685.2022.10025323.
Series/Report no.: 2022 4th International Conference on Advancements in Computing (ICAC);
Abstract: Visual sense plays a primary role in guiding sighted people through an unfamiliar environment and assisting them to reach their destination safely. Visual impairment describes the actual damage that makes it difficult to accomplish visual tasks because it makes it difficult to see clearly. This paper proposes an approach to overcome the challenges faced by visually impaired people with the help of machine learning. This proposed system combines a smart cane and a wearable smart glass. The detection of obstacles and potholes helps to increase the safety and comfort of visually impaired users by detecting and displaying obstacles, and the Smart Walk-lane Navigation assists in navigating through the walk-lanes without letting them enter the main roads and helps to prevent accidents. Road sign detection allows users to follow road signs and cross the roads safely, while face and emotion detection allows users to recognize well-known people and their emotions.
URI: https://rda.sliit.lk/handle/123456789/3297
ISSN: 979-8-3503-9809-0
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Computer Science and Software Engineering
Research Papers - SLIIT Staff Publications

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