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S&T Best Computing Projects
Banknote recognition : using machine learning in assistive technology for the visually impaired
Part of: Banknote recognition : using machine learning in assistive technology for the visually impaired (2 objects)
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Banknote recognition : using machine learning in assistive technology for the visually impaired - PDF
Banknote recognition : using machine learning in assistive technology for the visually impaired - video
Collection
S&T Best Computing Projects
Record Details
Record ID
stcompfyp:25
Title
Banknote recognition : using machine learning in assistive technology for the visually impaired
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Chung, Sin Hang (group member)
Leung, Yuen Yan (group member)
Pang, Hoi Shan (group member)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
School / Unit
School of Science and Technology (S&T)
Program
Bachelor of Computing with Honours in Internet Technology
Date
2019
Abstract
The aim of this project is to develop a mobile application to help visually impaired people recognize the value of current Hong Kong banknotes. The prototype mobile application can show the value of banknotes with speech synthesis and cell phone vibration coupled with machine learning.
Type of Resource
Mixed
Language
English
Physical Description
This work includes 1 PDF file and 1 video clip.
Notes
Team name : Project Dawn
Keywords
people with visual disabilities - services for; pattern recognition systems; bank notes; mobile apps
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:25
Object Details
Record ID
stcompfyp:27
Title
Banknote recognition : using machine learning in assistive technology for the visually impaired - video
Collection
S&T Best Computing Projects
Type of Resource
Video
Physical Description
1 minute 10 seconds.
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:27
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