| dc.description.abstract | The risk of accidental fres or explosions is a matter of grave concern to humanity since
it endangers human lives and threatens social safety. The system proposed in this thesis
project is an advanced and low-cost solution for detecting and extinguishing fre in the
early stage with minimal resources. The system is built based on the Internet of Things
(IoT) platform, a modern and effective solution for connecting computing devices and
machines to the Internet; and image processing using OpenCV, an open-source computer
vision library. Important hardware components included in the system are NodeMCU,
camera, and pump. The pump is connected with the relay and placed directly under
the camera. The NodeMCU acts as a processor to control the camera, relay, and pump
by receiving and processing signals transmitted through a serial connection. The system
operates through two main phases: fre detection and fre extinguisher. In the frst phase,
the camera repeatedly spins with a specifc angle in the horizontal direction. The system
continuously processes images collected from the camera and runs pre-trained YOLO
model to infer whether there is the presence of fre. In the second phase, when fre gets
detected, the system program transmits signals to adjust the camera horizontally and
vertically so that the water pipe points towards the fre. Then, the pump is activated,
and the system begins to put out the fre. | en_US |
