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Estimation of volume and weight of apple by using 2D contactless computer vision measuring method

Volume and weight are key parameters that 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 the water displacement method (WDM) to measure volume. However, these two methods are...

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Main Authors: Afiq Ikhwan, Mohd Fauzi, Mohd Zamri, Ibrahim, Muhammad Salihin, Saealal
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/39110/1/Estimation%20of%20volume%20and%20weight%20of%20apple%20by%20using%202D%20contactless.pdf
http://umpir.ump.edu.my/id/eprint/39110/2/Estimation%20of%20volume%20and%20weight%20of%20apple%20by%20using%202D%20contactless%20computer%20vision%20measuring%20method_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39110/
https://doi.org/10.1109/ICECCME55909.2022.9987978
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spelling my.ump.umpir.391102023-11-14T03:59:05Z http://umpir.ump.edu.my/id/eprint/39110/ Estimation of volume and weight of apple by using 2D contactless computer vision measuring method Afiq Ikhwan, Mohd Fauzi Mohd Zamri, Ibrahim Muhammad Salihin, Saealal T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Volume and weight are key parameters that 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 the water displacement method (WDM) to measure volume. However, these two methods are not suitable to apply in industries since both methods require a lot of time to obtain the final output. Therefore, a new approach is needed. The main objective of this work is to develop a contactless system based on computer vision system that can estimate the volume and weight of apples by using the width and height via 2D image captured. The camera needs to calibrate in order to get the ratio of pixel/cm by using the checkerboard point detection technique. Mask regional convolution neural network (R-CNN) was used to detect and segment apple images while providing the height and width of apples. The system was tested with four different settings, with 20cm and 30cm distance, and two different camera models. The best estimation of the volume and weight of apples obtained were with errors of 11.97 % and 11.49 % respectively. Overall, the findings showed that height and width from a 2D calibrated perspective can be used as an alternative method for the contactless assessment of apple volume and weight. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39110/1/Estimation%20of%20volume%20and%20weight%20of%20apple%20by%20using%202D%20contactless.pdf pdf en http://umpir.ump.edu.my/id/eprint/39110/2/Estimation%20of%20volume%20and%20weight%20of%20apple%20by%20using%202D%20contactless%20computer%20vision%20measuring%20method_ABS.pdf Afiq Ikhwan, Mohd Fauzi and Mohd Zamri, Ibrahim and Muhammad Salihin, Saealal (2022) Estimation of volume and weight of apple by using 2D contactless computer vision measuring method. In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022, 16-18 November 2022 , Male. pp. 1-6. (185686). ISBN 978-166547095-7 https://doi.org/10.1109/ICECCME55909.2022.9987978
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
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Afiq Ikhwan, Mohd Fauzi
Mohd Zamri, Ibrahim
Muhammad Salihin, Saealal
Estimation of volume and weight of apple by using 2D contactless computer vision measuring method
description Volume and weight are key parameters that 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 the water displacement method (WDM) to measure volume. However, these two methods are not suitable to apply in industries since both methods require a lot of time to obtain the final output. Therefore, a new approach is needed. The main objective of this work is to develop a contactless system based on computer vision system that can estimate the volume and weight of apples by using the width and height via 2D image captured. The camera needs to calibrate in order to get the ratio of pixel/cm by using the checkerboard point detection technique. Mask regional convolution neural network (R-CNN) was used to detect and segment apple images while providing the height and width of apples. The system was tested with four different settings, with 20cm and 30cm distance, and two different camera models. The best estimation of the volume and weight of apples obtained were with errors of 11.97 % and 11.49 % respectively. Overall, the findings showed that height and width from a 2D calibrated perspective can be used as an alternative method for the contactless assessment of apple volume and weight.
format Conference or Workshop Item
author Afiq Ikhwan, Mohd Fauzi
Mohd Zamri, Ibrahim
Muhammad Salihin, Saealal
author_facet Afiq Ikhwan, Mohd Fauzi
Mohd Zamri, Ibrahim
Muhammad Salihin, Saealal
author_sort Afiq Ikhwan, Mohd Fauzi
title Estimation of volume and weight of apple by using 2D contactless computer vision measuring method
title_short Estimation of volume and weight of apple by using 2D contactless computer vision measuring method
title_full Estimation of volume and weight of apple by using 2D contactless computer vision measuring method
title_fullStr Estimation of volume and weight of apple by using 2D contactless computer vision measuring method
title_full_unstemmed Estimation of volume and weight of apple by using 2D contactless computer vision measuring method
title_sort estimation of volume and weight of apple by using 2d contactless computer vision measuring method
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39110/1/Estimation%20of%20volume%20and%20weight%20of%20apple%20by%20using%202D%20contactless.pdf
http://umpir.ump.edu.my/id/eprint/39110/2/Estimation%20of%20volume%20and%20weight%20of%20apple%20by%20using%202D%20contactless%20computer%20vision%20measuring%20method_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39110/
https://doi.org/10.1109/ICECCME55909.2022.9987978
_version_ 1822923826712805376
score 13.232414

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