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T.H.C. Heshan
2023-232
Commits
8ec1a425
Commit
8ec1a425
authored
May 19, 2023
by
T.H.C. Heshan
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8ec1a425
2023-232
Development of a Real-Time Object Recognition and Navigation System
for Visually Impaired Persons in Indoor Environments Using Container
Security.
The visually impaired face many challenges in navigating through indoor environments such as
classrooms and lecture halls. Existing assistive technologies, such as canes and guide dogs, have
limitations and may not provide adequate support for navigating complex indoor environments.
In this research, we aim to develop a comprehensive system that can assist visually impaired
persons in navigating indoor environments.
The system will use computer vision algorithms and techniques to accurately recognize and
identify objects and obstacles in indoor environments, such as desks, chairs, doors, and people.
Navigation assistance: Based on the recognized objects and obstacles in the environment, the
system will provide real-time navigation assistance to visually impaired persons through
auditory feedback.
The system will feature a user-friendly interface that is accessible to visually impaired persons,
with easy-to-understand navigation instructions.
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