Unclean hand detection machine using vision sensor

This project is in the collaboration with the Department of Microbiology and Parasitology of Medical campus USM. This project will deliver an automated hand wash screening audit system using a vision system. The amount of the hand wash screening audit is done manually by an expert to monitor the han...

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Main Author: Rawaida , Jaafar
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/7614/1/CD6741.pdf
http://umpir.ump.edu.my/id/eprint/7614/
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spelling my.ump.umpir.76142021-06-17T01:21:25Z http://umpir.ump.edu.my/id/eprint/7614/ Unclean hand detection machine using vision sensor Rawaida , Jaafar TJ Mechanical engineering and machinery This project is in the collaboration with the Department of Microbiology and Parasitology of Medical campus USM. This project will deliver an automated hand wash screening audit system using a vision system. The amount of the hand wash screening audit is done manually by an expert to monitor the hands under ultraviolet light once it’s been washed. This project is proposed to automate this hand wash screening audit by using a vision system. By using the vision system, the hand wash screening audit will be done automatically and accurately without the attendance of human expert to detect the unclean areas of the hands. The vision system is designed to increase accuracy to detect the unclean areas of washed hands after using the GLO GERM. GLO GERM acts as stimulated germs. This system will not only detect the unclean areas, but will also estimate the percentage of the unclean areas which will be used as further analysis of the efficiency of the system. However, we need to build the hand wash prototype using ultraviolet light and a camera that is connected to the computer to process and display the results of the hand wash screening audit using image processing software. In the image processing technique, we used hand detection to detect the areas of the palm of the hand and stain on palm detection to detect the unclean areas of the hands using HSV thresholding and RGB masking techniques. We detected the areas of unclean hands which dictated by the colored that has GLO GERM stains. The GUI will show the captured image and detected unclean area image and also the percentage of the unclean areas of the hands. The GUI will notify the decision of clean or unclean based on the percentage of unclean areas. This system design is efficient and commercial in the market especially in HUSM for requirements of health care applications. Other hospitals or industries whom hand hygiene is very crucial are potential buyers. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7614/1/CD6741.pdf Rawaida , Jaafar (2012) Unclean hand detection machine using vision sensor. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Rawaida , Jaafar
Unclean hand detection machine using vision sensor
description This project is in the collaboration with the Department of Microbiology and Parasitology of Medical campus USM. This project will deliver an automated hand wash screening audit system using a vision system. The amount of the hand wash screening audit is done manually by an expert to monitor the hands under ultraviolet light once it’s been washed. This project is proposed to automate this hand wash screening audit by using a vision system. By using the vision system, the hand wash screening audit will be done automatically and accurately without the attendance of human expert to detect the unclean areas of the hands. The vision system is designed to increase accuracy to detect the unclean areas of washed hands after using the GLO GERM. GLO GERM acts as stimulated germs. This system will not only detect the unclean areas, but will also estimate the percentage of the unclean areas which will be used as further analysis of the efficiency of the system. However, we need to build the hand wash prototype using ultraviolet light and a camera that is connected to the computer to process and display the results of the hand wash screening audit using image processing software. In the image processing technique, we used hand detection to detect the areas of the palm of the hand and stain on palm detection to detect the unclean areas of the hands using HSV thresholding and RGB masking techniques. We detected the areas of unclean hands which dictated by the colored that has GLO GERM stains. The GUI will show the captured image and detected unclean area image and also the percentage of the unclean areas of the hands. The GUI will notify the decision of clean or unclean based on the percentage of unclean areas. This system design is efficient and commercial in the market especially in HUSM for requirements of health care applications. Other hospitals or industries whom hand hygiene is very crucial are potential buyers.
format Undergraduates Project Papers
author Rawaida , Jaafar
author_facet Rawaida , Jaafar
author_sort Rawaida , Jaafar
title Unclean hand detection machine using vision sensor
title_short Unclean hand detection machine using vision sensor
title_full Unclean hand detection machine using vision sensor
title_fullStr Unclean hand detection machine using vision sensor
title_full_unstemmed Unclean hand detection machine using vision sensor
title_sort unclean hand detection machine using vision sensor
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/7614/1/CD6741.pdf
http://umpir.ump.edu.my/id/eprint/7614/
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score 13.160551