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 .--

Thesis (undergraduate)

College of Industrial Technology .-- Bachelor of Engineering Technology major in Computer Engineering Technology: Technological University of the Philippines, 2024.

Includes bibliography.

This study focuses on the development of an Internet of Things (IoT)-based system for
detecting smoke-belching in diesel vehicles. Air pollution, particularly from diesel
vehicles, is a significant concern in the Philippines, contributing to numerous health
problems and premature deaths. Traditional manual methods for detecting excessive
vehicle emissions are inefficient and subjective, prompting the need for an automated
solution. The proposed IoT Smoke-belching Detection System uses sensor technology
to measure smoke opacity from vehicle exhausts in real-time. The system comprises
advanced hardware components such as an ESP32 microcontroller, photodiode, laser
diode, Bluetooth, and Wi-Fi modules, which are connected to a mobile application for
continuous monitoring and data recording. This automated approach aims to provide
accurate, real-time data on vehicle emissions, facilitating timely enforcement of emission
standards as mandated by the Clean Air Act (Republic Act 8749) in the Philippines.
Extensive testing and validation of the prototype demonstrated its capability to reliably
detect smoke emissions and transmit the data to a web-based platform for administrative
review. The development and implementation of this system seeks to enhance the
efficiency and effectiveness of emission monitoring, ultimately contributing to a cleaner
environment and better public health outcomes. The evaluation includes average ratings
for each criterion and an overall mean score. The system achieved a score of 3.85 out of
5, corresponding to a “Very Good” rating, demonstrating successful achievement of its
primary objectives as outlined in the project description.
Keywords: Internet of Things, Air pollution, Diesel vehicles, and Sensor technology