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Esophagus detection for halal classification in SYCUT

According to the Islamic Law, one of the procedures in halal slaughtering of chicken is the step of severing the trachea, esophagus and both the carotid arteries and jugular veins to accelerate the chicken's bleeding and death. Syariah Compliance Automated Chicken Processing System (SYCUT) uses...

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Main Authors: Nor Muhammad, Nor Aziah Amirah, Yusof, Rubiyah, Arfa, Reza, Yunus, Ridzuan, Ismail, Nordinah
Format: Article
Language:English
Published: Penerbit UTHM 2019
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/89036/1/NordinahIsmail2019_EsophagusDetectionforHalalClassificationinSYCUT.pdf
http://eprints.utm.my/id/eprint/89036/
http://dx.doi.org/10.30880/ijie.2019.11.04.015
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spelling my.utm.890362021-01-26T08:41:41Z http://eprints.utm.my/id/eprint/89036/ Esophagus detection for halal classification in SYCUT Nor Muhammad, Nor Aziah Amirah Yusof, Rubiyah Arfa, Reza Yunus, Ridzuan Ismail, Nordinah T Technology (General) According to the Islamic Law, one of the procedures in halal slaughtering of chicken is the step of severing the trachea, esophagus and both the carotid arteries and jugular veins to accelerate the chicken's bleeding and death. Syariah Compliance Automated Chicken Processing System (SYCUT) uses the Vision Inspection Technology to detect and classify whether a chicken is halal or not. The lack of quality and halal assurance in chicken processing industry made it a need to produce such technology. The system implements image processing techniques and artificial intelligence approach, particularly the Viola and Jones object detection framework for esophagus detection. The results of the experiment from two different sites (Az-Zain and 3P) are 81.8% and 55% respectively. The detection module of those two sites show results of 95.6% and 93.5% which are the accuracy as good as human personnel. Penerbit UTHM 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/89036/1/NordinahIsmail2019_EsophagusDetectionforHalalClassificationinSYCUT.pdf Nor Muhammad, Nor Aziah Amirah and Yusof, Rubiyah and Arfa, Reza and Yunus, Ridzuan and Ismail, Nordinah (2019) Esophagus detection for halal classification in SYCUT. International Journal of Integrated Engineering, 11 (4). pp. 139-148. ISSN 2229-838X http://dx.doi.org/10.30880/ijie.2019.11.04.015
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Nor Muhammad, Nor Aziah Amirah
Yusof, Rubiyah
Arfa, Reza
Yunus, Ridzuan
Ismail, Nordinah
Esophagus detection for halal classification in SYCUT
description According to the Islamic Law, one of the procedures in halal slaughtering of chicken is the step of severing the trachea, esophagus and both the carotid arteries and jugular veins to accelerate the chicken's bleeding and death. Syariah Compliance Automated Chicken Processing System (SYCUT) uses the Vision Inspection Technology to detect and classify whether a chicken is halal or not. The lack of quality and halal assurance in chicken processing industry made it a need to produce such technology. The system implements image processing techniques and artificial intelligence approach, particularly the Viola and Jones object detection framework for esophagus detection. The results of the experiment from two different sites (Az-Zain and 3P) are 81.8% and 55% respectively. The detection module of those two sites show results of 95.6% and 93.5% which are the accuracy as good as human personnel.
format Article
author Nor Muhammad, Nor Aziah Amirah
Yusof, Rubiyah
Arfa, Reza
Yunus, Ridzuan
Ismail, Nordinah
author_facet Nor Muhammad, Nor Aziah Amirah
Yusof, Rubiyah
Arfa, Reza
Yunus, Ridzuan
Ismail, Nordinah
author_sort Nor Muhammad, Nor Aziah Amirah
title Esophagus detection for halal classification in SYCUT
title_short Esophagus detection for halal classification in SYCUT
title_full Esophagus detection for halal classification in SYCUT
title_fullStr Esophagus detection for halal classification in SYCUT
title_full_unstemmed Esophagus detection for halal classification in SYCUT
title_sort esophagus detection for halal classification in sycut
publisher Penerbit UTHM
publishDate 2019
url http://eprints.utm.my/id/eprint/89036/1/NordinahIsmail2019_EsophagusDetectionforHalalClassificationinSYCUT.pdf
http://eprints.utm.my/id/eprint/89036/
http://dx.doi.org/10.30880/ijie.2019.11.04.015
_version_ 1690370960572547072
score 13.211869

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