Image processing on intel edison microcontroller for pork detection

Around 0.5% of females and 8% of males are suffer from color vision deficiency (CVD) problem. Moreover, CVD becomes more critical in case of professional laboratory operators, including halal laboratories in terms of the need of visual inspection. Halal and haram are the two terms used to indicate t...

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Main Author:	Khdhair, Zaid Hadi
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Image processing - Digital techniques Color vision - Testing Computer vision
Online Access:	http://psasir.upm.edu.my/id/eprint/70535/1/FK%202016%20104%20IR.pdf
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id	my-upm-ir.70535
record_format	uketd_dc
spelling	my-upm-ir.705352019-08-21T06:44:42Z Image processing on intel edison microcontroller for pork detection 2016-08 Khdhair, Zaid Hadi Around 0.5% of females and 8% of males are suffer from color vision deficiency (CVD) problem. Moreover, CVD becomes more critical in case of professional laboratory operators, including halal laboratories in terms of the need of visual inspection. Halal and haram are the two terms used to indicate the allowed and not allowed food for Muslims respectively. Recently, the researchers have demonstrated that it is essential to develop inexpensive, and reliable methods to support halal food detection systems. Hence, detecting pork meat cheating in beef and chicken meatballs visually has been researched by using gold nanoparticles (GNPs) which changes the color of pork DNA samples into a clearly remarkable color. The result of GNPs research cannot be reliable due to CVD errors, thus, spectroscopy device has been used to handle this issue. However, using spectroscopy device to solve CVD has various disadvantages including high cost, and it should be used immediately after preparing the chemical solution in which it returns back to its original color after few minutes. In this research, implementing image processing techniques based on Intel Edison platform is used to handle CVD problem and decrease the detection cost. Moreover, image enhancement techniques have been used to label the color type of GNPs research. Color balance and brightness adjustments are applied for image enhancement aim, and the color type has been identified based on its intensity value. Python programming language and its Python Imaging Library (PIL) have been employed to implement the image processing tasks. On the other hand, Intel Edison and a traditional computer have implemented the Python algorithm, and the performance of each system has been recorded. The proposed work has been evaluated and compared to the performance of the traditional computer and to the result of absorption spectroscopy device. The result of this research has indicated that, image processing techniques, which are based on Intel Edison, are efficient alternative method to the absorption spectroscopy device, since both techniques have identified color types and solved CVD. Moreover, the proposed method is cost effective, and it can be used anytime since it is based on digital data. Thus, the proposed work can be used for future halal system designs, due to the tiny size (60×29×8 mm), light weight (32 g), low cost, and sufficient processing speed (500MHz Dual-core) of Intel Edison, and the promising results of image processing techniques. Image processing - Digital techniques Color vision - Testing Computer vision 2016-08 Thesis http://psasir.upm.edu.my/id/eprint/70535/ http://psasir.upm.edu.my/id/eprint/70535/1/FK%202016%20104%20IR.pdf text en public masters Universiti Putra Malaysia Image processing - Digital techniques Color vision - Testing Computer vision
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Image processing - Digital techniques Color vision - Testing Computer vision
spellingShingle	Image processing - Digital techniques Color vision - Testing Computer vision Khdhair, Zaid Hadi Image processing on intel edison microcontroller for pork detection
description	Around 0.5% of females and 8% of males are suffer from color vision deficiency (CVD) problem. Moreover, CVD becomes more critical in case of professional laboratory operators, including halal laboratories in terms of the need of visual inspection. Halal and haram are the two terms used to indicate the allowed and not allowed food for Muslims respectively. Recently, the researchers have demonstrated that it is essential to develop inexpensive, and reliable methods to support halal food detection systems. Hence, detecting pork meat cheating in beef and chicken meatballs visually has been researched by using gold nanoparticles (GNPs) which changes the color of pork DNA samples into a clearly remarkable color. The result of GNPs research cannot be reliable due to CVD errors, thus, spectroscopy device has been used to handle this issue. However, using spectroscopy device to solve CVD has various disadvantages including high cost, and it should be used immediately after preparing the chemical solution in which it returns back to its original color after few minutes. In this research, implementing image processing techniques based on Intel Edison platform is used to handle CVD problem and decrease the detection cost. Moreover, image enhancement techniques have been used to label the color type of GNPs research. Color balance and brightness adjustments are applied for image enhancement aim, and the color type has been identified based on its intensity value. Python programming language and its Python Imaging Library (PIL) have been employed to implement the image processing tasks. On the other hand, Intel Edison and a traditional computer have implemented the Python algorithm, and the performance of each system has been recorded. The proposed work has been evaluated and compared to the performance of the traditional computer and to the result of absorption spectroscopy device. The result of this research has indicated that, image processing techniques, which are based on Intel Edison, are efficient alternative method to the absorption spectroscopy device, since both techniques have identified color types and solved CVD. Moreover, the proposed method is cost effective, and it can be used anytime since it is based on digital data. Thus, the proposed work can be used for future halal system designs, due to the tiny size (60×29×8 mm), light weight (32 g), low cost, and sufficient processing speed (500MHz Dual-core) of Intel Edison, and the promising results of image processing techniques.
format	Thesis
qualification_level	Master's degree
author	Khdhair, Zaid Hadi
author_facet	Khdhair, Zaid Hadi
author_sort	Khdhair, Zaid Hadi
title	Image processing on intel edison microcontroller for pork detection
title_short	Image processing on intel edison microcontroller for pork detection
title_full	Image processing on intel edison microcontroller for pork detection
title_fullStr	Image processing on intel edison microcontroller for pork detection
title_full_unstemmed	Image processing on intel edison microcontroller for pork detection
title_sort	image processing on intel edison microcontroller for pork detection
granting_institution	Universiti Putra Malaysia
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/70535/1/FK%202016%20104%20IR.pdf
_version_	1747812861521952768

Image processing on intel edison microcontroller for pork detection

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