Multi-Dimensional Automatic Perception of Vehicles Spontaneous Combustion

Hot weather is one of the common causes of spontaneous combustion in automobiles, especially in the hot summer months. Vehicles under the sun, the temperature inside and outside the car may quickly rise to extremely high levels, in this case, the car's electric circuit, oil circuit and the ignition point of the contents of the car greatly reduced, very easy to spontaneous combustion phenomenon. Auto spontaneous combustion not only threatens the safety of the people inside the car, but also causes serious damage to the surrounding environment and property. However, with the continuous progress of science and technology, the application of intelligent technology in various fields has become more and more extensive, and the prevention of spontaneous combustion of automobiles, which is a complex safety issue, can also be solved with the help of advanced technical means. In this paper, using the YOLO model for flame image detection and combining temperature and gas sensors, an effective and innovative intelligent automated system for preventing automobile spontaneous combustion is proposed.