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Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method

Apple is one of the most famous fruits that have been picked by a lot of families in Malaysia. There are several factors that determine apple quality which are volume and weight. The two parameters have been used as a benchmark to identify the quality of apples. These two parameters can be easily me...

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Main Author: Afiq Ikhwan, Mohd Fauzi
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39901/1/EA18090_AFIQ%20IKHWAN_Thesis_V2%20-%20Afiq%20Ikhwan.pdf
http://umpir.ump.edu.my/id/eprint/39901/
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spelling my.ump.umpir.399012024-01-08T08:14:43Z http://umpir.ump.edu.my/id/eprint/39901/ Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method Afiq Ikhwan, Mohd Fauzi TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Apple is one of the most famous fruits that have been picked by a lot of families in Malaysia. There are several factors that determine apple quality which are volume and weight. The two parameters have been used as a benchmark to identify the quality of apples. These two parameters can be easily measured individually by using a weighing balance to measure weight and water displacement method (WDM) to measure volume. However, these two methods are not suitable to apply in industries since both methods required a lot of time to obtain the final output. Therefore, new technology is needed in order to estimate the weight and volume of apples. The main objective of this project is to develop a vision-based system that is able to estimate the volume and weight of apples. The volume of the apple is calculated by using the width and height of the apple via images. The camera needs to calibrate in order to get the ratio of pixel/cm which is used for conversion data. Detectron2 with a custom dataset will be used to detect and segment apple images. The output of detection and segmentation images will be used to create boundary boxes to obtain the height and width of apples. The developed systems are tested by four different settings which have different variables. The volume and weight of apples are able to obtain 85.41% and 85.26% of accuracy by using the formula. Overall, the project is able to estimate all the parameters of apple with an accuracy of more than 80% which can be concluded as a successful project. 2022-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39901/1/EA18090_AFIQ%20IKHWAN_Thesis_V2%20-%20Afiq%20Ikhwan.pdf Afiq Ikhwan, Mohd Fauzi (2022) Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method. College of Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Afiq Ikhwan, Mohd Fauzi
Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method
description Apple is one of the most famous fruits that have been picked by a lot of families in Malaysia. There are several factors that determine apple quality which are volume and weight. The two parameters have been used as a benchmark to identify the quality of apples. These two parameters can be easily measured individually by using a weighing balance to measure weight and water displacement method (WDM) to measure volume. However, these two methods are not suitable to apply in industries since both methods required a lot of time to obtain the final output. Therefore, new technology is needed in order to estimate the weight and volume of apples. The main objective of this project is to develop a vision-based system that is able to estimate the volume and weight of apples. The volume of the apple is calculated by using the width and height of the apple via images. The camera needs to calibrate in order to get the ratio of pixel/cm which is used for conversion data. Detectron2 with a custom dataset will be used to detect and segment apple images. The output of detection and segmentation images will be used to create boundary boxes to obtain the height and width of apples. The developed systems are tested by four different settings which have different variables. The volume and weight of apples are able to obtain 85.41% and 85.26% of accuracy by using the formula. Overall, the project is able to estimate all the parameters of apple with an accuracy of more than 80% which can be concluded as a successful project.
format Undergraduates Project Papers
author Afiq Ikhwan, Mohd Fauzi
author_facet Afiq Ikhwan, Mohd Fauzi
author_sort Afiq Ikhwan, Mohd Fauzi
title Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method
title_short Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method
title_full Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method
title_fullStr Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method
title_full_unstemmed Computer Vision Estimation Of Volume And Weight Of Apple By Using 2d Noncontact Measuring Method
title_sort computer vision estimation of volume and weight of apple by using 2d noncontact measuring method
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39901/1/EA18090_AFIQ%20IKHWAN_Thesis_V2%20-%20Afiq%20Ikhwan.pdf
http://umpir.ump.edu.my/id/eprint/39901/
_version_ 1822924036387110912
score 13.232414

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