Smartphone aided real-time blood vein detection system

This paper aims to develop a real-time integrated system for the detection of the blood vein utilizing an Android Mobile App. The system is intended to be a low cost solution for medical teams at clinics, emergency rooms and hosptials. The system reduces the enjuries incurred due to inaccuracies dur...

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Main Authors:	Ahmed, Kazi Istiaque, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul
Format:	Article
Language:	English English
Published:	Universitas Ahmad Dahlan in collaboration with IAES 2019
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/73490/ http://irep.iium.edu.my/73490/ http://irep.iium.edu.my/73490/ http://irep.iium.edu.my/73490/7/73490%20Smartphone%20aided%20real-time%20blood%20vein%20detection%20system.pdf http://irep.iium.edu.my/73490/13/73490_Smartphone%20aided%20real-time%20blood%20vein%20detection%20system_Scopus.pdf

id	iium-73490
recordtype	eprints
spelling	iium-734902019-11-24T13:19:01Z http://irep.iium.edu.my/73490/ Smartphone aided real-time blood vein detection system Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices This paper aims to develop a real-time integrated system for the detection of the blood vein utilizing an Android Mobile App. The system is intended to be a low cost solution for medical teams at clinics, emergency rooms and hosptials. The system reduces the enjuries incurred due to inaccuracies during the process of frequent needle injection when blood vein is not visible during patient‟s skin inspection. Illuminated infrared light in the blood cells of the vein is absorbed due to the manifestation of the Haemoglobin in blood and the IR non-blocking camera can capture the vein patterns in the IR light spectrum. Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was used to enhance the pattern of the vein in the Android application developed using OpenCV3. Developed system can detect the veins up to 7mm underneath of human skin in real time with a frame rate of 25fps. This is a far better improvement than commercial systems that can detect veins only below 10mm underneath the skin. Moreover, this system not only focused on needle infusion but also it can be used to indicate the place of bleeding for the clots from the human body strokes, etc. in the upper layer of skin. It can also be used to detect & measure liquids in encapsulated in confined dark bottles, for example, liquid chemical pouring into the bottles in the chemical companies, liquid medicine pouring to bottles, etc. The system can be further developed to detect skin infection and other dermatological diseases underneath the skin. Universitas Ahmad Dahlan in collaboration with IAES 2019-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/73490/7/73490%20Smartphone%20aided%20real-time%20blood%20vein%20detection%20system.pdf application/pdf en http://irep.iium.edu.my/73490/13/73490_Smartphone%20aided%20real-time%20blood%20vein%20detection%20system_Scopus.pdf Ahmed, Kazi Istiaque and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul (2019) Smartphone aided real-time blood vein detection system. Bulletin of Electrical Engineering and Informatics (BEEI), 8 (3). pp. 1096-1107. ISSN 2089-3191 E-ISSN 2302-9285 http://beei.org/index.php/EEI/article/view/1514/1175 10.11591/eei.v8i3.1514
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul Smartphone aided real-time blood vein detection system
description	This paper aims to develop a real-time integrated system for the detection of the blood vein utilizing an Android Mobile App. The system is intended to be a low cost solution for medical teams at clinics, emergency rooms and hosptials. The system reduces the enjuries incurred due to inaccuracies during the process of frequent needle injection when blood vein is not visible during patient‟s skin inspection. Illuminated infrared light in the blood cells of the vein is absorbed due to the manifestation of the Haemoglobin in blood and the IR non-blocking camera can capture the vein patterns in the IR light spectrum. Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was used to enhance the pattern of the vein in the Android application developed using OpenCV3. Developed system can detect the veins up to 7mm underneath of human skin in real time with a frame rate of 25fps. This is a far better improvement than commercial systems that can detect veins only below 10mm underneath the skin. Moreover, this system not only focused on needle infusion but also it can be used to indicate the place of bleeding for the clots from the human body strokes, etc. in the upper layer of skin. It can also be used to detect & measure liquids in encapsulated in confined dark bottles, for example, liquid chemical pouring into the bottles in the chemical companies, liquid medicine pouring to bottles, etc. The system can be further developed to detect skin infection and other dermatological diseases underneath the skin.
format	Article
author	Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_facet	Ahmed, Kazi Istiaque Habaebi, Mohamed Hadi Islam, Md. Rafiqul
author_sort	Ahmed, Kazi Istiaque
title	Smartphone aided real-time blood vein detection system
title_short	Smartphone aided real-time blood vein detection system
title_full	Smartphone aided real-time blood vein detection system
title_fullStr	Smartphone aided real-time blood vein detection system
title_full_unstemmed	Smartphone aided real-time blood vein detection system
title_sort	smartphone aided real-time blood vein detection system
publisher	Universitas Ahmad Dahlan in collaboration with IAES
publishDate	2019
url	http://irep.iium.edu.my/73490/ http://irep.iium.edu.my/73490/ http://irep.iium.edu.my/73490/ http://irep.iium.edu.my/73490/7/73490%20Smartphone%20aided%20real-time%20blood%20vein%20detection%20system.pdf http://irep.iium.edu.my/73490/13/73490_Smartphone%20aided%20real-time%20blood%20vein%20detection%20system_Scopus.pdf
first_indexed	2023-09-18T21:44:12Z
last_indexed	2023-09-18T21:44:12Z
_version_	1777413340248670208

Smartphone aided real-time blood vein detection system

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