Smartphone-based audio white cane for the blind

Smartphone-based audio white cane for the blind

This project involved the design and implementation of a real-time mobile application that makes use of the rear camera of a smartphone to provide appropriate sounds to help guide and warn a blind user during dangerous situations. Real-time computer vision algorithms were created to process the live...

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Bibliographic Details
Main Author: Lee, Rachel Yi Hui
Other Authors: Goh Wooi Boon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
Online Access:https://hdl.handle.net/10356/163120
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Institution: Nanyang Technological University
Language: English
Description
Summary:This project involved the design and implementation of a real-time mobile application that makes use of the rear camera of a smartphone to provide appropriate sounds to help guide and warn a blind user during dangerous situations. Real-time computer vision algorithms were created to process the live video streams received from the smartphone camera. Features from the live video streams were then extracted and processed to determine if they are dangerous obstacles and sound appropriate audio cues to the user.

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