Capilit, Ronn Matthew E.  <br/><br/>
An automated advertisement system using geofencing technology/ 
Ronn Matthew E. Capilit, Jeford A. Huen, Kenjie G. Morados, Cedmel Lloyd M. Montejo, and Kenneth Andrei A. Priolo.-- 
 - Manila:  Technological University of the Philippines,  2025. 
 - x, 125pages:  29cm. 
<br/><br/> Bachelor's thesis 
<br/><br/>College of Industrial Technology.-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> The An Automated Advertisement System using Geofencing Technology aims to<br/>improve advertising efficiency through geofencing with analytics technologies. The system<br/>automatically displays location-specific advertisements on public utility vehicle-mounted<br/>screens when the vehicle approaches a registered business establishment within a 500-<br/>meter radius. This approach offers businesses valuable advertising exposure while<br/>minimizing environmental impact by reducing the need for traditional advertising methods<br/>such as static billboards. By integrating real-time GPS data and intelligent advertising<br/>management, the system delivers marketing content based on geographic proximity. The<br/>system has been tested for functionality, responsiveness, and reliability. The overall mean<br/>score 4.83 further validates the system’s effectiveness and signifying “Excellent” level of<br/>performance. An Automated Advertisement System using Geofencing Technology enables<br/>smarter marketing strategies, promotes the growth of local businesses, encourages<br/>innovation in advertising, and helps optimize costs. This project also aligns with the United<br/>Nations Sustainable Development Goals, specifically SDG-8 (Decent Work and Economic<br/>Growth), SDG-9 (Industry, Innovation, and Infrastructure), and SDG-11 (Sustainable<br/>Cities and Communities). 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Geofencing<br/>Automated advertising <br/>Digital marketing
<br/><br/><label>LC Class. No.: </label>BTH QA 76.9  / C37 2025