Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/48862
Title: Classification of pH levels using a mobile phone
Authors: Tang, Tung Lieng.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2012
Abstract: “To get rich never risk your health. For it is the truth that health is the wealth of wealth.” [1] This is a quote by Richard Baker, a British broadcaster. The trend of health conscious is getting more popular as people know that health cannot be judged by their wealth. Hence, people usually now schedule annual medical check-up. Even now, Singapore Government is advertising through media to do regular check-up more often, especially for senior citizens, to prevent any sudden terminal illness. Other than regular medical check-up, pH testing on saliva and urine comes into the picture for doing a simple check-up. However, people with poor eyesight and color blindness, might determine the wrong pH level. Therefore, since mobile phone is known to be the most convenient and portable device, this project aims to create a mobile application that solves the problem of determining the wrong pH level. This mobile application is implemented as a Java application to be operated on a Symbian Operating System-based mobile phone. With the help of well-written image processing and clustering techniques, this application is definitely achievable. Experiments and sufficient testing are done to ensure the robustness of the application and efficiency of the algorithm used.
URI: http://hdl.handle.net/10356/48862
Schools: School of Computer Engineering 
Research Centres: Centre for Multimedia and Network Technology 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
SCE11-0037.pdf
  Restricted Access
3.84 MBAdobe PDFView/Open

Page view(s) 50

490
Updated on Mar 22, 2025

Download(s)

11
Updated on Mar 22, 2025

Google ScholarTM

Check

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