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Investigation of rectangular shape object detection and classification using python

The existing fishcake machine can perform tasks to increase the productivity of fishcakes in the market. However, high productivity is not the only main purpose of a successful food manufacturing industries. The quality of the food itself need to accommodate the standard quality that has been lined...

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Main Authors: Zulkefle, Mohamad Hafizie, Abdul Ghani, A. S.
Format: Article
Language:English
Published: Penerbit UMP 2022
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/37260/1/Investigation%20of%20Rectangular%20%20Shape%20Object%20Detection.pdf
http://umpir.ump.edu.my/id/eprint/37260/
https://doi.org/10.15282/mekatronika.v4i2.8940
https://doi.org/10.15282/mekatronika.v4i2.8940
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spelling my.ump.umpir.372602023-03-10T01:30:41Z http://umpir.ump.edu.my/id/eprint/37260/ Investigation of rectangular shape object detection and classification using python Zulkefle, Mohamad Hafizie Abdul Ghani, A. S. TJ Mechanical engineering and machinery TS Manufactures The existing fishcake machine can perform tasks to increase the productivity of fishcakes in the market. However, high productivity is not the only main purpose of a successful food manufacturing industries. The quality of the food itself need to accommodate the standard quality that has been lined by authorities to ensure that the quality of the food product must be at the best standard along with its high productivity. The objective of this work is to develop a monitoring method for detection of irregular shape and foreign particles of the fishcake during the fishcake production. This work will implement and uses both hardware and software elements to provide the best solution for the purpose of fishcake quality sustainability. Real-time image processing is the method used in this study by developing python program through Raspberry Pi 4. The algorithm of the programming is the main concern in this research. The library used for this study is OpenCV which is a common API used for computer vision. Penerbit UMP 2022-10 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/37260/1/Investigation%20of%20Rectangular%20%20Shape%20Object%20Detection.pdf Zulkefle, Mohamad Hafizie and Abdul Ghani, A. S. (2022) Investigation of rectangular shape object detection and classification using python. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 4 (2). pp. 32-39. ISSN 2637-0883 https://doi.org/10.15282/mekatronika.v4i2.8940 https://doi.org/10.15282/mekatronika.v4i2.8940
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Zulkefle, Mohamad Hafizie
Abdul Ghani, A. S.
Investigation of rectangular shape object detection and classification using python
description The existing fishcake machine can perform tasks to increase the productivity of fishcakes in the market. However, high productivity is not the only main purpose of a successful food manufacturing industries. The quality of the food itself need to accommodate the standard quality that has been lined by authorities to ensure that the quality of the food product must be at the best standard along with its high productivity. The objective of this work is to develop a monitoring method for detection of irregular shape and foreign particles of the fishcake during the fishcake production. This work will implement and uses both hardware and software elements to provide the best solution for the purpose of fishcake quality sustainability. Real-time image processing is the method used in this study by developing python program through Raspberry Pi 4. The algorithm of the programming is the main concern in this research. The library used for this study is OpenCV which is a common API used for computer vision.
format Article
author Zulkefle, Mohamad Hafizie
Abdul Ghani, A. S.
author_facet Zulkefle, Mohamad Hafizie
Abdul Ghani, A. S.
author_sort Zulkefle, Mohamad Hafizie
title Investigation of rectangular shape object detection and classification using python
title_short Investigation of rectangular shape object detection and classification using python
title_full Investigation of rectangular shape object detection and classification using python
title_fullStr Investigation of rectangular shape object detection and classification using python
title_full_unstemmed Investigation of rectangular shape object detection and classification using python
title_sort investigation of rectangular shape object detection and classification using python
publisher Penerbit UMP
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/37260/1/Investigation%20of%20Rectangular%20%20Shape%20Object%20Detection.pdf
http://umpir.ump.edu.my/id/eprint/37260/
https://doi.org/10.15282/mekatronika.v4i2.8940
https://doi.org/10.15282/mekatronika.v4i2.8940
_version_ 1761616613634736128
score 13.211869

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