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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| Format: | Article |
| Language: | English |
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Penerbit UMP
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/37260/ http://umpir.ump.edu.my/id/eprint/37260/1/Investigation%20of%20Rectangular%20%20Shape%20Object%20Detection.pdf |
| _version_ | 1848825203488980992 |
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| author | Zulkefle, Mohamad Hafizie Abdul Ghani, A. S. |
| author_facet | Zulkefle, Mohamad Hafizie Abdul Ghani, A. S. |
| author_sort | Zulkefle, Mohamad Hafizie |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:25:12Z |
| format | Article |
| id | ump-37260 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:25:12Z |
| publishDate | 2022 |
| publisher | Penerbit UMP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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. (Published) https://doi.org/10.15282/mekatronika.v4i2.8940 https://doi.org/10.15282/mekatronika.v4i2.8940 |
| 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 |
| title | 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_short | Investigation of rectangular shape object detection and classification using python |
| title_sort | investigation of rectangular shape object detection and classification using python |
| topic | TJ Mechanical engineering and machinery TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/37260/ http://umpir.ump.edu.my/id/eprint/37260/ http://umpir.ump.edu.my/id/eprint/37260/ http://umpir.ump.edu.my/id/eprint/37260/1/Investigation%20of%20Rectangular%20%20Shape%20Object%20Detection.pdf |