A mobile application for assisting the visually impaired in shopping products based on machine learning

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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:57
Title: A mobile application for assisting the visually impaired in shopping products based on machine learning - video
Collection: S&T Best Computing Projects
Type of Resource: Video
Physical Description: 1 minute 58 seconds.
Access Eligibility: Public Access
Permanent Link: https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:57