It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
AWARDS
WORKS
ALL
SCHOOLS & OFFICES
SCHOOL OF ARTS AND SOCIAL SCIENCES
LEE SHAU KEE SCHOOL OF BUSINESS AND ADMINISTRATION
SCHOOL OF EDUCATION AND LANGUAGES
SCHOOL OF NURSING AND HEALTH STUDIES
SCHOOL OF SCIENCE AND TECHNOLOGY
LI KA SHING SCHOOL OF PROFESSIONAL AND CONTINUING EDUCATION (LiPACE)
LIBRARY
STUDENT AFFAIRS OFFICE
COLLECTIONS
ABOUT
close
×
Search
Home
S&T Best Computing Projects
A mobile application for assisting the visually impaired in shopping products based on machine learning
Part of: A mobile application for assisting the visually impaired in shopping products based on machine learning (2 objects)
1 of 2
Next
A mobile application for assisting the visually impaired in shopping products based on machine learning - PDF
A mobile application for assisting the visually impaired in shopping products based on machine learning - video
/sw/islandora/object/stcompfyp%3A56/datastream/OBJ/view
Collection
S&T Best Computing Projects
Record Details
Record ID
stcompfyp:55
Title
A mobile application for assisting the visually impaired in shopping products based on machine learning
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Lam, Chun Yip Chris (group member)
Lau, Ka Chun Gordon (group member)
Tang, Chun Man Tommy (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
2018
Abstract
The aim of this project is to develop an application to assist visually impaired in shopping products in supermarket. The main objective of the project is to recognize different canned foods through smartphone’s camera.
Type of Resource
Mixed
Language
English
Physical Description
This work includes 1 PDF file and 1 video clip.
Notes
Team name : Code For Food
Keywords
grocery shopping; canned foods; supermarkets; people with visual disabilities - services for; mobile apps; Agile software development
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:55
Object Details
Record ID
stcompfyp:56
Title
A mobile application for assisting the visually impaired in shopping products based on machine learning - PDF
Collection
S&T Best Computing Projects
Type of Resource
PDF
Physical Description
2 pages.
Access Eligibility
Public Access
Permanent Link
https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:56
Sorry, you need to enable JavaScript to visit this website.