Banknote recognition : using machine learning in assistive technology for the visually impaired

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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:26
Title: Banknote recognition : using machine learning in assistive technology for the visually impaired - PDF
Collection: S&T Best Computing Projects
Type of Resource: PDF
Physical Description: 3 pages.
Access Eligibility: Public Access
Permanent Link: https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:26