Chan, Michael Jay Z. <br/><br/>
Smart Lost & Found:   Item recovery System/ 
Michael Jay Z. Chan, Ernest Joseph C. Hernandez, Francisco S. Mejia III, Mishael D. Oliva, and Ian Paul Klein V. Salazar..- 
 - Manila:  Technological University of the Philippines,  2025. 
 - ix, 108 pages:  29cm. 
<br/><br/> Bachelor's Thesis 
<br/><br/>College of Industrial Technology..- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> The high frequency of misplaced personal property on university grounds consistently<br/>impacts student campus life and academic performance, yet most institutions still depend<br/>on outdated, unstructured manual procedures like logbooks. These traditional methods<br/>are inherently susceptible to human error and delays, resulting in low recovery rates for<br/>lost items and creating administrative challenges for campus security. To address this<br/>recognized deficiency, the study proposes developing a kiosk-based Smart Lost & Found:<br/>Item Recovery System specifically for the Technological University of the Philippines<br/>(TUP)–Manila. The proposed system integrates an ESP-32-WROOM microprocessor<br/>with a touchscreen interface and QR-code technology to enable real-time tagging,<br/>tracking, and secure retrieval of belongings. Each found item is assigned a unique QR<br/>code, which facilitates fast logging, database storage, and automated authentication<br/>checks during the claims process. The prototype would undergo thorough testing and<br/>evaluation by selected users to confirm its functionality, ease of use, and reliability. The<br/>anticipated outcome is that this organized, technology-driven system will improve the<br/>efficiency of campus lost and found operations, minimize human error, and strengthen<br/>accountability in item recovery. Furthermore, this innovation supports the United<br/>Nations’ Sustainable Development Goal (UN SDG) 9: Industry, Innovation, and<br/>Infrastructure, by promoting the use of modern technologies to enhance institutional<br/>processes and contribute to a more secure and efficient campus environment.<br/><br/>Keywords: Lost and Found System, QR Code, Kiosk-based System, Item Recovery, UN<br/>SDG 9 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Engineering Technology<br/>Lost and Found System<br/>Item Recovery
<br/><br/><label>LC Class. No.: </label>BTH QA 76.9  / C43 2025