Abstract
This paper presents a system that can be implemented in brewing factories using actual facilities as a testbed. The system performs Machine Learning based vision classification with images collected by machine vision. It requires a large amount of computational power, but edge devices in factory generally do not support powerful processing capabilities. Computing resource limitations inherent in edge devices can be overcome by using a centralized server. We show the demonstration in a actual factory and accommodate the necessary delays in edge devices while obtaining the necessary data.
| Original language | English |
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| Title of host publication | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665426718 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 - Seoul, Korea, Republic of Duration: 2022 May 16 → 2022 May 20 |
Publication series
| Name | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 |
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| Volume | 2022-January |
Conference
| Conference | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 22/5/16 → 22/5/20 |
Bibliographical note
Funding Information:ACKNOWLEDGMENT This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (1711134613, 2021-0-00270, Development of 5G MEC framework to improve food factory productivity, automate and optimize flexible packaging)
Publisher Copyright:
© 2022 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Signal Processing
- Control and Optimization