Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163120
Title: Smartphone-based audio white cane for the blind
Authors: Lee, Rachel Yi Hui
Keywords: Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Lee, R. Y. H. (2022). Smartphone-based audio white cane for the blind. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163120
Abstract: 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.
URI: https://hdl.handle.net/10356/163120
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Final Report (Rachel Lee).pdf
  Restricted Access
1.22 MBAdobe PDFView/Open

Page view(s)

12
Updated on Dec 5, 2022

Download(s)

1
Updated on Dec 5, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.