Bautista, Jherwin G. <br/><br/>
A public transport detection system for the visually impaired using the internet of everything/ 
Jherwin G. Bautista, Nhiel Criane O. Bautista, Eomer Paul T. Sta. Maria, Wilfredo B. Tunay Jr., Elijah Joshua B. Venus.-- 
 - Manila:  Technological University of the Philippines,  2025. 
 - xii, 109pages:  29cm. 
<br/><br/> Bachelor's thesis 
<br/><br/>College of Industrial Technology.-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Transportation is an important part of daily life; it provides individuals to maintain<br/>independence and participate in society. But for the visually impaired, navigating through<br/>public transportation remains a significant challenge due to inadequate infrastructure,<br/>insufficient access to assistive technologies, lack of standardized protocols, poorly trained<br/>transit staff, and limited tactile or auditory guidance in public transit environments. There<br/>are numerous methods used to assist the visually impaired, like designated PWD seating<br/>or limited tactile paving, including the latest technological innovations, such as, use of<br/>electromagnetic technologies, Global Positioning System modules, Radio Frequency<br/>communications systems, and Artificial Intelligence-driven computer vision models and<br/>detection sensors. However, these technologies still face challenges, with limited detection<br/>ranges, bulky and heavy components, insufficient battery life, lack of real-time feedback,<br/>inability to adapt in diverse environments, and another is the high costs of development<br/>and maintenance. This project study aims to design, develop, test, and evaluate an assistive<br/><br/>cane using the Internet of Everything and AI-based computer vision system, offering real-<br/>time audio feedback for navigation and vehicle classification. The project was developed<br/><br/>and implemented based on Agile Scrum methodology. Test results show that the system is<br/>functional based on its design specifications, and significantly consistent in terms of its<br/>accuracy (F (3,76)=0.650634, p=0.584986) and timeliness (F (2,57)=0.161784,<br/>p=0.851014; F (2,57)=0.814923, p=0.447764). performance . The project was evaluated<br/>by 10 visually impaired, and 10 experts as respondents and rated it as overall "Very Good"<br/>based on ISO 25010:2023 evaluation criteria of functional correctness, functional<br/>appropriateness, usability, compatibility, effectiveness, and safety. The project study is<br/>contributory to the United Nations’ Sustainable Development Goals (UN-SDG) No. 3 and<br/>10 – Good Health and Well-Being and Reduced Inequalities, respectively. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Assistive cane<br/>Internet of everything<br/>Visually impaired
<br/><br/><label>LC Class. No.: </label>BTH QA 76.9  / B38 2025