Meor Said, Maizatul Alice and Misran, Mohamad Harris and Othman, Mohd Azlishah and Shairi, Noor Azwan and Zabri @ Suhaimi, Siti Normi and Ruslan, Eliyana and Salleh, Azahari and Idris, Mohd Zahid (2026) IoT enhanced lost and found system in FTKEK using QR code technology. International Journal of Research and Innovation in Social Science (IJRISS), X (III). 3882 - 3893. ISSN 2454-6186
|
Text
0121325042026933163147.pdf Available under License Creative Commons Attribution. Download (980kB) |
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Internet of Things (IoT), Lost and found system, QR code technology, Smart tracking system |
| Divisions: | Faculty Of Electronics And Computer Technology And Engineering |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 13 Jul 2026 06:38 |
| Last Modified: | 13 Jul 2026 06:38 |
| URI: | http://eprints.utem.edu.my/id/eprint/29938 |
| Statistic Details: | View Download Statistic |
Actions (login required)
![]() |
View Item |
