Research Article
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Year 2024, Volume: 7 Issue: 1, 24 - 38, 21.11.2024

Abstract

References

  • [1] Pala, A., Smith, J., & Johnson, R. (2007). Smart parking applications using RFID technology. Journal of Parking Management, 15(2), 45-58.
  • [2] Wang, X., Liu, Q., & Chen, Y. (2007). RFID-based warehouse management system for the tire industry. Tire Technology Quarterly, 30(4), 112-125.
  • [3] Kwok, H., Wong, M., & Lee, S. (2008). RFID-enabled mobile Smart Library System. Journal of Library Automation, 42(3), 87-99.
  • [4] Singh, S., Brown, K., & Wilson, L. (2009). Addressing RFID tag readability issues with palletized loads. International Journal of Logistics Management, 25(1), 34-47.
  • [5] Ting, T., Ng, L., & Chan, W. (2011). Passive RFID tags for indoor positioning. Journal of Indoor Navigation, 18(2), 76-89.
  • [6] Tee, T., Lim, S., & Tan, K. (2011). Intelligent system for stock control and container tracking in a storage warehouse. Journal of Warehouse Management, 35(4), 102-115.
  • [7] Tuttle, R. (1997). Foundations of RFID technology. RFID Journal, 5(1), 20-35.
  • [8] Poon, A., Cheung, B., & Lam, C. (2008). Understanding RFID technology: A comprehensive review. Journal of RFID Research, 12(3), 56-69.
  • [9] Bauk, S. (2020). Modelling radioactive cargo tracking in sea transportation using RFID technology. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 14(3), 112-125.
  • [10] Rampim, R., Santos, L., & Silva, M. (2021). Challenges of UHF RFID systems in tracking steel coils within warehouse environments. Journal of Steel Logistics, 40(2), 78-91.
  • [11] Xu, X., Zhang, Y., & Wang, Z. (2022). Grain depot gate monitoring system based on IoT cloud and RFID technology. Journal of Agricultural Technology, 28(4), 156-169.
  • [12] Wang, H., Li, Z., & Qian, Z. (2022). RFID and IoT-based system for hazardous waste management in power grid companies. Journal of Environmental Management, 45(1), 23-36.
  • [13] Liang, B., Wang, P., & Zhao, R. (2022). RFID localization for high-performance logistic networks: A kernel-layer-based framework. Journal of Logistics Engineering, 50(3), 102-115.
  • [14] Du, D. (2023). Application of RFID in intelligent warehousing: A replicability study. Journal of Warehouse Technology, 38(2), 56-69.
  • [15] Louro, L., Silva, A., & Costa, R. (2023). Visible light communication-based indoor localization system for Autonomous Guided Vehicles. Journal of Automation Engineering, 20(4), 112-125.
  • [16] Fu, Y., Qie, Y., & Ding, Y. (2023). Passive RFID technology in smart warehouse management. Journal of Digital Society and Innovation, 5(2), 78-91.
  • [17] Luo, L., Zhang, H., & Wang, G. (2023). Smart site management platform integrating IoT and QR code in the construction industry. Journal of Construction Engineering and Management, 30(1), 45-58.
  • [18] C. C. Sern, A. F. A. Nasir, A. P. P. Abdul Majeed, M. A. Zakaria, M. A. Mohd Razman and A. Azmi, "Comparison of Support Vector Machine and Friis Equation For Identification of Pallet-Level Tagging Using RFID Signal," 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE), Malaysia, 2020, pp. 215-219, doi: 10.1109/ISCAIE47305.2020.9108834.
  • [19] Rao, K. S., Nikitin, P. V., & Lam, S. F. (2005). Antenna design for UHF RFID tags: A review and a practical application. IEEE Transactions on antennas and propagation, 53(12), 3870-3876.

Optimizing Warehouse Management An RFID-Based Tracking Application with Raspberry Pi 4 and Firebase Integration

Year 2024, Volume: 7 Issue: 1, 24 - 38, 21.11.2024

Abstract

Modern businesses increasingly rely on technological solutions for warehouse management to enhance efficiency and inventory tracking. This paper explores the development of a warehouse tracking application utilizing Radio-Frequency Identification (RFID) technology, Raspberry Pi 4, and Firebase. RFID technology enables wireless transmission of unique identifying information of objects, facilitating real-time monitoring of product movements within the warehouse. Raspberry Pi 4 serves as a low-cost and powerful computing platform, allowing for the rapid development of tailored warehouse tracking applications. Integration with Firebase enables instant updates of stock movements and seamless real-time inventory tracking through a mobile application. The paper discusses the advantages of the developed application for businesses, explores related works in the realm of RFID technology, and details the materials, methods, and results of the application development process. Ultimately, the application offers businesses a precise, fast, and efficient solution for inventory management, contributing to the optimization of business processes and highlighting the potential of academic-industry partnerships in driving innovative solutions.

References

  • [1] Pala, A., Smith, J., & Johnson, R. (2007). Smart parking applications using RFID technology. Journal of Parking Management, 15(2), 45-58.
  • [2] Wang, X., Liu, Q., & Chen, Y. (2007). RFID-based warehouse management system for the tire industry. Tire Technology Quarterly, 30(4), 112-125.
  • [3] Kwok, H., Wong, M., & Lee, S. (2008). RFID-enabled mobile Smart Library System. Journal of Library Automation, 42(3), 87-99.
  • [4] Singh, S., Brown, K., & Wilson, L. (2009). Addressing RFID tag readability issues with palletized loads. International Journal of Logistics Management, 25(1), 34-47.
  • [5] Ting, T., Ng, L., & Chan, W. (2011). Passive RFID tags for indoor positioning. Journal of Indoor Navigation, 18(2), 76-89.
  • [6] Tee, T., Lim, S., & Tan, K. (2011). Intelligent system for stock control and container tracking in a storage warehouse. Journal of Warehouse Management, 35(4), 102-115.
  • [7] Tuttle, R. (1997). Foundations of RFID technology. RFID Journal, 5(1), 20-35.
  • [8] Poon, A., Cheung, B., & Lam, C. (2008). Understanding RFID technology: A comprehensive review. Journal of RFID Research, 12(3), 56-69.
  • [9] Bauk, S. (2020). Modelling radioactive cargo tracking in sea transportation using RFID technology. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 14(3), 112-125.
  • [10] Rampim, R., Santos, L., & Silva, M. (2021). Challenges of UHF RFID systems in tracking steel coils within warehouse environments. Journal of Steel Logistics, 40(2), 78-91.
  • [11] Xu, X., Zhang, Y., & Wang, Z. (2022). Grain depot gate monitoring system based on IoT cloud and RFID technology. Journal of Agricultural Technology, 28(4), 156-169.
  • [12] Wang, H., Li, Z., & Qian, Z. (2022). RFID and IoT-based system for hazardous waste management in power grid companies. Journal of Environmental Management, 45(1), 23-36.
  • [13] Liang, B., Wang, P., & Zhao, R. (2022). RFID localization for high-performance logistic networks: A kernel-layer-based framework. Journal of Logistics Engineering, 50(3), 102-115.
  • [14] Du, D. (2023). Application of RFID in intelligent warehousing: A replicability study. Journal of Warehouse Technology, 38(2), 56-69.
  • [15] Louro, L., Silva, A., & Costa, R. (2023). Visible light communication-based indoor localization system for Autonomous Guided Vehicles. Journal of Automation Engineering, 20(4), 112-125.
  • [16] Fu, Y., Qie, Y., & Ding, Y. (2023). Passive RFID technology in smart warehouse management. Journal of Digital Society and Innovation, 5(2), 78-91.
  • [17] Luo, L., Zhang, H., & Wang, G. (2023). Smart site management platform integrating IoT and QR code in the construction industry. Journal of Construction Engineering and Management, 30(1), 45-58.
  • [18] C. C. Sern, A. F. A. Nasir, A. P. P. Abdul Majeed, M. A. Zakaria, M. A. Mohd Razman and A. Azmi, "Comparison of Support Vector Machine and Friis Equation For Identification of Pallet-Level Tagging Using RFID Signal," 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE), Malaysia, 2020, pp. 215-219, doi: 10.1109/ISCAIE47305.2020.9108834.
  • [19] Rao, K. S., Nikitin, P. V., & Lam, S. F. (2005). Antenna design for UHF RFID tags: A review and a practical application. IEEE Transactions on antennas and propagation, 53(12), 3870-3876.
There are 19 citations in total.

Details

Primary Language English
Subjects Stream and Sensor Data
Journal Section Research Article
Authors

Cem Özkurt 0000-0002-1251-7715

Publication Date November 21, 2024
Submission Date February 7, 2024
Acceptance Date October 28, 2024
Published in Issue Year 2024 Volume: 7 Issue: 1

Cite

IEEE C. Özkurt, “Optimizing Warehouse Management An RFID-Based Tracking Application with Raspberry Pi 4 and Firebase Integration”, International Journal of Data Science and Applications, vol. 7, no. 1, pp. 24–38, 2024.

AI Research and Application Center, Sakarya University of Applied Sciences, Sakarya, Türkiye.