Human Presence Detection using Ultra Wide Band Signal for Fire Extinguishing Robot

Abstract

Fire incidents often result to associated deaths, injuries, and losses occurring structures and properties, particularly in homes every year. In this study, the researchers proposed a 4-wheeled fire extinguishing robot with the ability to detect human presence in the area even when there is fire. Multiple sensors are utilized in this study to detect nearby flame, smoke, temperature and humidity, and obstacles through integration with Arduino and Raspberry Pi. The proposed robot is remotely controlled by the user over Wi-Fi through the graphical user interface created by the researchers in Python for easy monitoring of data and control. A camera is also mounted to the robot for surveillance purposes. The human detection system of the robot is implemented through using ultra-wide band radar (UWB) by utilizing the X4M300 presence sensor, which could detect human presence based on their respiration movement. Initial testing and four experiments were conducted to test the radar sensor's capabilities compared to the existing methods of human detection. The researchers yielded an accuracy of 97.29% in the testing of human detection system, proving that the implementation of UWB radar sensor is successful.