Abaloyan, Alexander Joaquin  <br/><br/>
The development of IOT smoke belching detection system/  
Alexander Joaquin Abaloyan, Christian Ryle R. Legaspi, Eliz Bernadette T. Tiongson, Genesis Tuazon, and John Lance D. Tumala .-- 
 - Manila:  Technological University of the Philippines,   2024. 
 - xiv, 152pages:   29cm.  
<br/><br/> Thesis (undergraduate)  
<br/><br/>College of Industrial Technology .-- 
<br/><br/>Includes bibliography.  
<br/><br/> This study focuses on the development of an Internet of Things (IoT)-based system for<br/>detecting smoke-belching in diesel vehicles. Air pollution, particularly from diesel<br/>vehicles, is a significant concern in the Philippines, contributing to numerous health<br/>problems and premature deaths. Traditional manual methods for detecting excessive<br/>vehicle emissions are inefficient and subjective, prompting the need for an automated<br/>solution. The proposed IoT Smoke-belching Detection System uses sensor technology<br/>to measure smoke opacity from vehicle exhausts in real-time. The system comprises<br/>advanced hardware components such as an ESP32 microcontroller, photodiode, laser<br/>diode, Bluetooth, and Wi-Fi modules, which are connected to a mobile application for<br/>continuous monitoring and data recording. This automated approach aims to provide<br/>accurate, real-time data on vehicle emissions, facilitating timely enforcement of emission<br/>standards as mandated by the Clean Air Act (Republic Act 8749) in the Philippines.<br/>Extensive testing and validation of the prototype demonstrated its capability to reliably<br/>detect smoke emissions and transmit the data to a web-based platform for administrative<br/>review. The development and implementation of this system seeks to enhance the<br/>efficiency and effectiveness of emission monitoring, ultimately contributing to a cleaner<br/>environment and better public health outcomes. The evaluation includes average ratings<br/>for each criterion and an overall mean score. The system achieved a score of 3.85 out of<br/>5, corresponding to a “Very Good” rating, demonstrating successful achievement of its<br/>primary objectives as outlined in the project description.<br/>Keywords: Internet of Things, Air pollution, Diesel vehicles, and Sensor technology 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Internet of things<br/>Computer engineering <br/>automobiles--diesel<br/>Sensor technology
<br/><br/><label>LC Class. No.: </label>BTH QA 76.9  / A23 2024