APPLICATION OF ARTIFICIAL INTELLIGENCE IN SMOKE DETECTION WITH STREAMING UPDATED DATA

APPLICATION OF ARTIFICIAL INTELLIGENCE IN SMOKE DETECTION WITH STREAMING UPDATED DATA
Tran Ho Xuan Mai , Ngo Ho Anh Khoi , Trinh The Luc, Tran Huynh Khang 

Abstract: 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, bringing about breakthrough technologies that enhance efficiency and effectiveness across various sectors, including environmental security. Particularly in today's landscape where fire and explosion incidents can happen anywhere, there is concern about environmental pollution caused by hazardous substances released from fires, which come into contact with soil, water, and the air. This can have an impact on human and animal health, leading to potential diseases and adverse effects on the environment. Artificial intelligence (AI) is being widely applied in researching and developing systems for detecting smoke and fires, playing a crucial role in reducing the damages caused by fires to the environment, human beings, and the economy. The "Smoke Detection Dataset" provided by Deep Contractor has been chosen as the primary dataset for this topic. The Decision Tree Classifier algorithm has been selected to build classification models. This algorithm has been applied in many fields of artificial intelligence and has shown significant advancement in recent years. This is also the reason why the Decision Tree Classifier algorithm is chosen as the foundation of the system in this study.



Keywords: Smoke Detection Dataset, Smoke Detection and Recognition, Decision Tree Classifier, Application of Artificial Intelligence to Address Smoke Detection and Recognition, IoT, Application