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Remote Monitoring IoT-Based Lab Inventory System
https://ipsj.ixsq.nii.ac.jp/records/241881
https://ipsj.ixsq.nii.ac.jp/records/24188137f6bb30-c67b-430e-a4e7-0512a63194e0
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-APRIS2024021.pdf (954.2 kB)
2026年12月27日からダウンロード可能です。
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Copyright (c) 2024 by the Information Processing Society of Japan
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| 非会員：¥0, IPSJ:学会員：¥0, EMB:会員：¥0, DLIB:会員：¥0 | ||
| Item type | Symposium(1) | |||||||||
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| 公開日 | 2024-12-27 | |||||||||
| タイトル | ||||||||||
| タイトル | Remote Monitoring IoT-Based Lab Inventory System | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | Remote Monitoring IoT-Based Lab Inventory System | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者所属 | ||||||||||
| Shibaura Institute of Technology | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Shibaura Institute of Technology | ||||||||||
| 著者名 |
Fahrur, Aslami
× Fahrur, Aslami
× Peeraya, Sripian
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| 著者名(英) |
Fahrur, Aslami
× Fahrur, Aslami
× Peeraya, Sripian
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Inventory management in university and research laboratories often encounters challenges due to the non-uniformity and volume of equipment, compounded by multiple users borrowing items. Manual record-keeping exacerbates inefficiencies, leading to inaccuracies and difficulty in tracking equipment usage. This paper proposes a Radio frequency identification (RFID)- based inventory management system integrated with Internet of Things (IoT) technology to address these issues. The proposed system combines RFID tag reading with real-time monitoring via a web application, utilizing a Raspberry Pi for data processing and internet connectivity. RFID technology is used for automatic equipment identification, while WebSocket ensures real-time data transmission with minimal latency. This system enhances visibility, accuracy, and scalability in inventory management. The study explores calibration strategies and design optimizations to improve RFID detection efficiency, particularly in boxed inventory storage. Results indicate that this system potentially enhance inventory management by providing a more reliable and efficient automated solution. | |||||||||
| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Inventory management in university and research laboratories often encounters challenges due to the non-uniformity and volume of equipment, compounded by multiple users borrowing items. Manual record-keeping exacerbates inefficiencies, leading to inaccuracies and difficulty in tracking equipment usage. This paper proposes a Radio frequency identification (RFID)- based inventory management system integrated with Internet of Things (IoT) technology to address these issues. The proposed system combines RFID tag reading with real-time monitoring via a web application, utilizing a Raspberry Pi for data processing and internet connectivity. RFID technology is used for automatic equipment identification, while WebSocket ensures real-time data transmission with minimal latency. This system enhances visibility, accuracy, and scalability in inventory management. The study explores calibration strategies and design optimizations to improve RFID detection efficiency, particularly in boxed inventory storage. Results indicate that this system potentially enhance inventory management by providing a more reliable and efficient automated solution. | |||||||||
| 書誌情報 |
Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform 巻 2024, p. 73-74, 発行日 2024-12-27 |
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| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
