IoT Enhanced Lost and Found System in FTKEK Using QR Code Technology

The Faculty of Electronics and Computer Engineering (FTKEK) at UTeM faces operational challenges due to a traditional lost and found system reliant on manual, paper-based reporting. These conventional methods are frequently ineffective, leading to unclaimed items, high administrative workloads, and potential disputes over rightful ownership. To address these inefficiencies, this paper presents the development of an IoT-enhanced Lost and Found System utilizing QR code technology and automated hardware. The system architecture integrates a PHP-based web interface with a MySQL database managed via a local XAMPP server to provide real-time tracking and centralized data management. Hardware implementation features an Arduino Uno microcontroller, which interfaces with MG90S servo motors to control secure locker compartments and LED indicators for visual status feedback. The solution employs unique QR codes generated upon item registration to bridge digital records with physical belongings, ensuring secure verification during the recovery process. Experimental results from prototype testing confirm successful database integration and synchronized bidirectional communication between the web server and Arduino hardware at a 9600 baud rate. The outcome is a reliable, automated platform that improves recovery rates, fosters user accountability, and minimizes the risk of wrongful claims within the academic environment.

The rapid development of the Internet of Things (IoT) has enabled

1. L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Computer Networks, vol. 54, no. 15, pp. 2787–2805, Oct. 2010. [Google Scholar] [Crossref]

2. Angellia, R. T. Yunardi, and F. Rahman, “IoT-based inventory management system for asset monitoring,” International Journal of Smart Technology and Management, vol. 5, no. 2, pp. 45–52, 2021. [Google Scholar] [Crossref]

3. S. Shukla and A. Yadav, “IoT-based real-time tracking systems: Enhancing efficiency in dynamic supply chains,” Journal of Ad-hoc Network and Mobile Computing, vol. 2, no. 1, pp. 1–9, 2024. [Google Scholar] [Crossref]

4. H. Liu, H. Darabi, P. Banerjee, and J. Liu, “Survey of wireless indoor positioning techniques and systems,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 37, no. 6, pp. 1067–1080, Nov. 2007. [Google Scholar] [Crossref]

5. Denso Wave Inc., “QR Code essentials,” Denso Technical Review, vol. 13, no. 1, pp. 1–9, 2008. [Google Scholar] [Crossref]

6. Pesik, K. Tumiwa, and E. Edwin, “Development of QR code labeling application for fixed asset accounting information systems,” Jurnal Indonesia Sosial Teknologi, vol. 5, no. 9, pp. 1–10, 2023. [Google Scholar] [Crossref]

7. P. Moonsrikaew, S. Pannakkong, and P. Torteeka, “QR code based asset management system for organizational resource monitoring,” International Journal of Computer Applications, vol. 176, no. 21, pp. 15–21, 2020. [Google Scholar] [Crossref]

8. J. M. Delos Santos and R. M. S. De Guzman, “Asset management information and tracking system with QR code based on the human-centred design method,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 11, pp. 312–320, 2021. [Google Scholar] [Crossref]

9. S. Li, L. Da Xu, and S. Zhao, “The Internet of Things: A survey on enabling technologies, protocols, and applications,” IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015. [Google Scholar] [Crossref]

10. M. K. Hasan, M. M. Rahman, and M. S. Hossain, “Design of QR code based smart lock security system using IoT,” International Journal of Computer Applications, vol. 182, no. 44, pp. 22–27, 2019. [Google Scholar] [Crossref]

11. P. Singh and A. Sharma, “IoT-based inventory and asset monitoring system using QR code identification,” International Journal of Research and Technology Innovation, vol. 5, no. 4, pp. 120–126, 2023. [Google Scholar] [Crossref]

12. Y. Chen, Z. Li, and H. Wang, “IoT-based parcel tracking and logistics monitoring system using QR code identification,” IEEE Access, vol. 8, pp. 134873–134882, 2020. [Google Scholar] [Crossref]

13. R. Patel and S. Shah, “Web-based lost and found management system using QR code tagging,” International Journal of Computer Science and Information Security, vol. 19, no. 7, pp. 35–42, 2021. [Google Scholar] [Crossref]

• The Impact of Ownership Structure on Dividend Payout Policy of Listed Plantation Companies in Sri Lanka
• Urban Sustainability in North-East India: A Study through the lens of NER-SDG index
• Performance Assessment of Predictive Forecasting Techniques for Enhancing Hospital Supply Chain Efficiency in Healthcare Logistics
• The Fractured Self in Julian Barnes' Postmodern Fiction: Identity Crisis and Deflation in Metroland and the Sense of an Ending
• Impact of Flood on the Employment, Labour Productivity and Migration of Agricultural Labour in North Bihar