Smart Lost & Found: Item recovery System/
Chan, Michael Jay Z.
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.
Bachelor's Thesis
College of Industrial Technology..-
Includes bibliographic references and index.
The high frequency of misplaced personal property on university grounds consistently
impacts student campus life and academic performance, yet most institutions still depend
on outdated, unstructured manual procedures like logbooks. These traditional methods
are inherently susceptible to human error and delays, resulting in low recovery rates for
lost items and creating administrative challenges for campus security. To address this
recognized deficiency, the study proposes developing a kiosk-based Smart Lost & Found:
Item Recovery System specifically for the Technological University of the Philippines
(TUP)–Manila. The proposed system integrates an ESP-32-WROOM microprocessor
with a touchscreen interface and QR-code technology to enable real-time tagging,
tracking, and secure retrieval of belongings. Each found item is assigned a unique QR
code, which facilitates fast logging, database storage, and automated authentication
checks during the claims process. The prototype would undergo thorough testing and
evaluation by selected users to confirm its functionality, ease of use, and reliability. The
anticipated outcome is that this organized, technology-driven system will improve the
efficiency of campus lost and found operations, minimize human error, and strengthen
accountability in item recovery. Furthermore, this innovation supports the United
Nations’ Sustainable Development Goal (UN SDG) 9: Industry, Innovation, and
Infrastructure, by promoting the use of modern technologies to enhance institutional
processes and contribute to a more secure and efficient campus environment.
Keywords: Lost and Found System, QR Code, Kiosk-based System, Item Recovery, UN
SDG 9
Computer Engineering Technology
Lost and Found System
Item Recovery
BTH QA 76.9 / C43 2025
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.
Bachelor's Thesis
College of Industrial Technology..-
Includes bibliographic references and index.
The high frequency of misplaced personal property on university grounds consistently
impacts student campus life and academic performance, yet most institutions still depend
on outdated, unstructured manual procedures like logbooks. These traditional methods
are inherently susceptible to human error and delays, resulting in low recovery rates for
lost items and creating administrative challenges for campus security. To address this
recognized deficiency, the study proposes developing a kiosk-based Smart Lost & Found:
Item Recovery System specifically for the Technological University of the Philippines
(TUP)–Manila. The proposed system integrates an ESP-32-WROOM microprocessor
with a touchscreen interface and QR-code technology to enable real-time tagging,
tracking, and secure retrieval of belongings. Each found item is assigned a unique QR
code, which facilitates fast logging, database storage, and automated authentication
checks during the claims process. The prototype would undergo thorough testing and
evaluation by selected users to confirm its functionality, ease of use, and reliability. The
anticipated outcome is that this organized, technology-driven system will improve the
efficiency of campus lost and found operations, minimize human error, and strengthen
accountability in item recovery. Furthermore, this innovation supports the United
Nations’ Sustainable Development Goal (UN SDG) 9: Industry, Innovation, and
Infrastructure, by promoting the use of modern technologies to enhance institutional
processes and contribute to a more secure and efficient campus environment.
Keywords: Lost and Found System, QR Code, Kiosk-based System, Item Recovery, UN
SDG 9
Computer Engineering Technology
Lost and Found System
Item Recovery
BTH QA 76.9 / C43 2025