Application of artificial intelligence in smoke detection with streaming updated data

Tóm tắt

At present, artificial intelligence (AI) is one of the most rapidly developing fields in science and technology. In the modern context, AI technologies have become a highly researched area globally, leading to breakthrough technologies that enhance efficiency and effectiveness across various sectors, including environmental security. In today's landscape, where fire and explosion incidents can occur anywhere, there is growing concern about environmental pollution caused by hazardous substances released from fires. These subtainces can come into contact with soil, water, and air, posing a threat to the environment. This technology has the potential to greatly impact human an animal health, as well as the environtment, by reducing the occurrence of diseases and adverse effects caused by fires. To investigate this topic, the “Smoke Detection Dataset” provided by Deep Contractor was selected as the primary dataset. The Decision Tree Classifier algorithm, which has shown significant advancement in various fields of artificial intelligence, was chosen to build classification models for this study. Its proven effectiveness and versatility make it suitable foundation for the system being developed.