Review of Advances in Fire Extinguishing Based on Computer Vision Applications: Methods, Challenges, and Future...

Area of Science:

• Computer Science
• Engineering
• Fire Safety

Background:

• Fire suppression technologies are evolving rapidly.
• Computer vision applications are increasingly integrated into these systems.
• Research spans firefighting robots, detection, and automated suppression.

Purpose of the Study:

• To examine the state-of-the-art in fire suppression technologies.
• To analyze the role of computer vision in this domain.
• To provide a comprehensive overview for researchers and practitioners.

Main Methods:

• Bibliographic analysis of scientific literature from the Scopus database.
• Utilized VOSviewer software for analysis.
• Employed a two-stage keyword analysis approach.

Main Results:

• Computer vision plays a crucial role in enhancing fire suppression efficiency and effectiveness.
• Key advances include sophisticated fire detection algorithms and automated systems.
• Research focuses on technical aspects, software, and hardware improvements for firefighting robots.

Conclusions:

• Computer vision is pivotal for advancing fire suppression technologies.
• Continuous innovation and interdisciplinary collaboration are essential for future progress.
• This review offers valuable insights into current technologies and applications in fire safety.