Fire detection using vision transformer on power plant

Abstract

The importance of power plant safety is increasing in the era of gradual technological development. When a fire occurs in the power plant, it will cause huge material losses, social unrest, and even casualties. The paper studies the common methods and models of fire warning, and introduces several model recognition techniques based on flames or smoke. Improved an automated power plant identification system based on the vision transformer, and proved the advantages of the technology through comparative analysis.

Keywords

• Deep learning
• Fire detection
• Power plant
• Vision transformer