IoT integrated conveyor centralized system
This research introduces Factory I/O, Modbus TCP/IP, and Node-RED technology to enhance industrial material distribution systems by incorporating visual sensors for efficient object segregation on conveyor belts. The objective is to expedite and enhance precision in item separation based on color,...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11974/1/IoT%20integrated%20conveyor%20centralized%20system.pdf http://eprints.uthm.edu.my/11974/ https://doi.org/10.1109/IEAI62569.2024.00010 |
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| _version_ | 1833419668959789056 |
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| author | Abu Zaki, Zahirah Abd Kadir Mahamad, Abd Kadir Mahamad Sharifah Saon, Sharifah Saon Othman, Maisara Elmunsyah, Hakkun Ahmadon, Mohd Anuaruddin Shingo Yamaguchi, Shingo Yamaguchi |
| author_facet | Abu Zaki, Zahirah Abd Kadir Mahamad, Abd Kadir Mahamad Sharifah Saon, Sharifah Saon Othman, Maisara Elmunsyah, Hakkun Ahmadon, Mohd Anuaruddin Shingo Yamaguchi, Shingo Yamaguchi |
| author_sort | Abu Zaki, Zahirah |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This research introduces Factory I/O, Modbus
TCP/IP, and Node-RED technology to enhance industrial
material distribution systems by incorporating visual sensors for efficient object segregation on conveyor belts. The objective is to expedite and enhance precision in item separation based on color, optimizing overall productivity. The implementation includes a local supervision technique for comprehensive control, ensuring a dependable and efficient system. Factory I/O simulation software analyzes the conveyor system's efficiency with vision sensors, providing a virtual environment for mock testing. Node-RED facilitates real-time data visualization and analysis, improving control and monitoring capabilities. The UI dashboard offers immediate insight into Overall Equipment Effectiveness (OEE) for efficient decision-making. This research significantly contributes to automated material handling in production through enhanced efficiency and comprehensive process overview in automation and vision-based sensor segregation. |
| format | Conference or Workshop Item |
| id | my.uthm.eprints-11974 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2024 |
| record_format | eprints |
| spelling | my.uthm.eprints-119742025-04-10T03:58:36Z http://eprints.uthm.edu.my/11974/ IoT integrated conveyor centralized system Abu Zaki, Zahirah Abd Kadir Mahamad, Abd Kadir Mahamad Sharifah Saon, Sharifah Saon Othman, Maisara Elmunsyah, Hakkun Ahmadon, Mohd Anuaruddin Shingo Yamaguchi, Shingo Yamaguchi T Technology (General) This research introduces Factory I/O, Modbus TCP/IP, and Node-RED technology to enhance industrial material distribution systems by incorporating visual sensors for efficient object segregation on conveyor belts. The objective is to expedite and enhance precision in item separation based on color, optimizing overall productivity. The implementation includes a local supervision technique for comprehensive control, ensuring a dependable and efficient system. Factory I/O simulation software analyzes the conveyor system's efficiency with vision sensors, providing a virtual environment for mock testing. Node-RED facilitates real-time data visualization and analysis, improving control and monitoring capabilities. The UI dashboard offers immediate insight into Overall Equipment Effectiveness (OEE) for efficient decision-making. This research significantly contributes to automated material handling in production through enhanced efficiency and comprehensive process overview in automation and vision-based sensor segregation. 2024 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/11974/1/IoT%20integrated%20conveyor%20centralized%20system.pdf Abu Zaki, Zahirah and Abd Kadir Mahamad, Abd Kadir Mahamad and Sharifah Saon, Sharifah Saon and Othman, Maisara and Elmunsyah, Hakkun and Ahmadon, Mohd Anuaruddin and Shingo Yamaguchi, Shingo Yamaguchi (2024) IoT integrated conveyor centralized system. In: 2024 5th International Conference on Industrial Engineering and Artificial Intelligence, IEAI 2024. https://doi.org/10.1109/IEAI62569.2024.00010 |
| spellingShingle | T Technology (General) Abu Zaki, Zahirah Abd Kadir Mahamad, Abd Kadir Mahamad Sharifah Saon, Sharifah Saon Othman, Maisara Elmunsyah, Hakkun Ahmadon, Mohd Anuaruddin Shingo Yamaguchi, Shingo Yamaguchi IoT integrated conveyor centralized system |
| title | IoT integrated conveyor centralized system |
| title_full | IoT integrated conveyor centralized system |
| title_fullStr | IoT integrated conveyor centralized system |
| title_full_unstemmed | IoT integrated conveyor centralized system |
| title_short | IoT integrated conveyor centralized system |
| title_sort | iot integrated conveyor centralized system |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/11974/1/IoT%20integrated%20conveyor%20centralized%20system.pdf http://eprints.uthm.edu.my/11974/ https://doi.org/10.1109/IEAI62569.2024.00010 |
| url_provider | http://eprints.uthm.edu.my/ |