Published Paper Details:

This research project presents the design and implementation of a smoke detection system utilizing Internet of Things (IoT) technology to mitigate the risks of fire accidents, which often lead to significant property loss and fatalities. The primary objective is to develop an interconnected safety system that can identify smoke and hazardous gases without human intervention. The system's methodology centers on a prototype developed within the Tinkercad simulation environment. The core hardware consists of an Arduino UNO R3 microcontroller and an MQ-2 metal oxide semiconductor (MOS) sensor. The MQ-2 sensor is chosen for its ability to detect flammable gas concentrations between 300 and 10,000 ppm, including smoke, LPG, propylene, and hydrogen. Additional components include a piezo buzzer for audible alerts, red and green LEDs for visual status indicators, and an LCD screen for real-time messaging. The system functions by monitoring voltage fluctuations from the MQ-2 sensor, which are proportional to smoke concentrations in the environment. Through an if-else control loop, the system compares live sensor data against a predefined threshold of 400. Results from testing demonstrate that when smoke levels exceed this threshold, the system successfully triggers a red LED and a continuous buzzing alarm, while maintaining a green LED status during safe conditions. The proposed system offers a portable and efficient solution for early fire detection, with future work recommended to improve sensitivity for low-energy flames and further minimize false alarms.