A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection

Viral outbreaks such as SARS, H5N1, and H1N1 have led the need of temperature monitoring in areas where crowds are expected such as in hospitals and airports. Infrared (IR) thermal screening, hitherto, has been found as powerful, quick and non-invasive method to detect the elevated temperature of...

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Main Authors: Kamarul Hawari, Ghazali, Norulzahrah, M. Zainudin, Suzaimah, Ramli, M. Lazim, Talib, Nor Asiakin, Hasbullah
Format: Article
Language:English
Published: IJIEE 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/9357/
http://umpir.ump.edu.my/id/eprint/9357/1/A%20Study%20on%20Implementing%20Physiology-Based%20Approach%20and%20Optical%20Flow%20Algorithm%20to%20Thermal%20Screening%20System%20for%20Flu%20Detection.pdf
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author Kamarul Hawari, Ghazali
Norulzahrah, M. Zainudin
Suzaimah, Ramli
M. Lazim, Talib
Nor Asiakin, Hasbullah
author_facet Kamarul Hawari, Ghazali
Norulzahrah, M. Zainudin
Suzaimah, Ramli
M. Lazim, Talib
Nor Asiakin, Hasbullah
author_sort Kamarul Hawari, Ghazali
building UMP Institutional Repository
collection Online Access
description Viral outbreaks such as SARS, H5N1, and H1N1 have led the need of temperature monitoring in areas where crowds are expected such as in hospitals and airports. Infrared (IR) thermal screening, hitherto, has been found as powerful, quick and non-invasive method to detect the elevated temperature of febrile individuals when the temperature of the face is above 36°. Past research has proved that the most excellent area that represents the core body temperature is the medial canthal areas of the face as it is less dependent on the effects of ambient temperature. In realistic situation, the moving subjects are random and the angles of the skin surface and distances change dynamically and misdetection of canthal area could also be due to any other unwanted objects that have the same temperature. The normal approach is to ask a single person to stand still for 2 seconds to capture the temperature. However this approach is ineffective and this will lead to long queue in public. To solve this issue, we have proposed a combination of physiology-based and optical flow algorithm to extract vascular network from the face. The thermal camera is provided with colour and audible alarming, hence when the camera detect an abnormal temperature from a person, automatic febrile individual tracking alarm will
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spelling ump-93572018-02-21T04:45:48Z http://umpir.ump.edu.my/id/eprint/9357/ A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection Kamarul Hawari, Ghazali Norulzahrah, M. Zainudin Suzaimah, Ramli M. Lazim, Talib Nor Asiakin, Hasbullah TK Electrical engineering. Electronics Nuclear engineering Viral outbreaks such as SARS, H5N1, and H1N1 have led the need of temperature monitoring in areas where crowds are expected such as in hospitals and airports. Infrared (IR) thermal screening, hitherto, has been found as powerful, quick and non-invasive method to detect the elevated temperature of febrile individuals when the temperature of the face is above 36°. Past research has proved that the most excellent area that represents the core body temperature is the medial canthal areas of the face as it is less dependent on the effects of ambient temperature. In realistic situation, the moving subjects are random and the angles of the skin surface and distances change dynamically and misdetection of canthal area could also be due to any other unwanted objects that have the same temperature. The normal approach is to ask a single person to stand still for 2 seconds to capture the temperature. However this approach is ineffective and this will lead to long queue in public. To solve this issue, we have proposed a combination of physiology-based and optical flow algorithm to extract vascular network from the face. The thermal camera is provided with colour and audible alarming, hence when the camera detect an abnormal temperature from a person, automatic febrile individual tracking alarm will IJIEE 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9357/1/A%20Study%20on%20Implementing%20Physiology-Based%20Approach%20and%20Optical%20Flow%20Algorithm%20to%20Thermal%20Screening%20System%20for%20Flu%20Detection.pdf Kamarul Hawari, Ghazali and Norulzahrah, M. Zainudin and Suzaimah, Ramli and M. Lazim, Talib and Nor Asiakin, Hasbullah (2015) A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection. International Journal of Information and Electronics Engineering, 5 (1). pp. 31-34. ISSN 2010-3719. (Published) http://dx.doi.org/10.7763/IJIEE.2015.V5.496
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kamarul Hawari, Ghazali
Norulzahrah, M. Zainudin
Suzaimah, Ramli
M. Lazim, Talib
Nor Asiakin, Hasbullah
A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection
title A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection
title_full A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection
title_fullStr A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection
title_full_unstemmed A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection
title_short A Study on Implementing Physiology-Based Approach and Optical Flow Algorithm to Thermal Screening System for Flu Detection
title_sort study on implementing physiology-based approach and optical flow algorithm to thermal screening system for flu detection
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/9357/
http://umpir.ump.edu.my/id/eprint/9357/
http://umpir.ump.edu.my/id/eprint/9357/1/A%20Study%20on%20Implementing%20Physiology-Based%20Approach%20and%20Optical%20Flow%20Algorithm%20to%20Thermal%20Screening%20System%20for%20Flu%20Detection.pdf