Flame Detection Based on Faster R-CNN Model

Authors

  • Jiani Lu College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China
  • Junying Chen College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China
  • Zijing Chen College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China
  • Limin Zhang College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China
  • Jinting Fang College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China

Keywords:

Faster R-CNN model, Flame detection, Detection process

Abstract

Based on the Faster R-CNN model, this paper presents a method for flame detection. Firstly, the importance of fire detection and the existing issues are introduced, followed by a detailed exposition of the principles and advantages of the Faster R-CNN algorithm. Subsequently, the flame detection process based on the Faster R-CNN model is described, and a portion of the code is demonstrated. Finally, the potential applications and future directions for improvement of this method are discussed.

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Published

2025-10-30

How to Cite

Lu, J., Chen, J., Chen, Z., Zhang, L., & Fang, J. (2025). Flame Detection Based on Faster R-CNN Model. International Journal of Advance in Applied Science Research, 4(7), 41–45. Retrieved from https://h-tsp.com/index.php/ijaasr/article/view/117

Issue

Vol. 4 No. 7 (2025)

Section

Articles

License

Copyright (c) 2025 Jiani Lu, Junying Chen, Zijing Chen, Limin Zhang, Jinting Fang

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.