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August 1, 2025IAES International Journal of Artificial IntelligenceOpen Access

Applications of artificial intelligence in indoor fire prevention and fighting

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Authors

DADuong Huu AiVNVan Loi NguyenKLKhanh Ty Luong

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Overview

Analysis shows image recognition and predictive modeling improve indoor fire prevention and firefighting, suggesting enhanced safety.

Key Points

  • AI applications in indoor fire prevention enhance efficiency and safety by analyzing real-time data,
  • The use of image recognition technology allows for effective identification of flame features during safety assessments and firefighting operations.
  • Neural networks interpret image data from charge-coupled device cameras to improve fire response capabilities.
  • This advancement in technology highlights the importance of AI integration in emergency safety systems.

Cite This Study

Ai et al. (2025) studied this question.

synapsesocial.com/papers/68af59e3ad7bf08b1eadeef6https://doi.org/10.11591/ijai.v14.i4.pp2646-2654
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