New Research in Cognitive Robotics Yields Breakthrough in Fire Detection

Strategic Insights -

Researchers at Dalian Minzu University have made a significant contribution to the field of cognitive robotics with the development of a new fire detection algorithm. The algorithm, known as FB-YOLOv8s, has been shown to improve detection performance for fire targets compared to traditional methods. This breakthrough has important implications for public safety and the protection of lives and property.

Key Takeaways:

  • The FB-YOLOv8s algorithm is a fire detection algorithm based on YOLOv8s that has been shown to improve detection performance for fire targets.
  • The algorithm introduces a FasterNet lightweight network to reduce the number of model parameters and enhances feature fusion capability with the Bi-directional Feature Pyramid Network (BiFPN).
  • The experimental results demonstrate that the mAP0.5 of FB-YOLOv8s increases by 2.0% and the number of parameters decreases by 25.23% compared to the original algorithm.
  • The research was funded by the National Natural Science Foundation of China.
  • Authors of the study include Yuhang Liu, Chunjuan Bo, and Chong Feng from the School of Information and Communication Engineering, Dalian Minzu University.
  • The study was published in Cognitive Robotics, a journal published by KeAi Communications Co. Ltd.

Statistics:

  • The mAP0.5 of FB-YOLOv8s increases by 2.0% compared to the original algorithm.
  • The number of parameters decreases by 25.23% compared to the original algorithm.
  • The research was conducted by researchers at Dalian Minzu University.
  • The study was funded by the National Natural Science Foundation of China.
  • The publication date of the study is July 2025.

Sources:

  • FB-YOLOv8s: A fire detection algorithm based on YOLOv8s.
  • Cognitive Robotics, 2025, 5(): 240-248.
  • KeAi Communications Co. Ltd.
  • Yuhang Liu, School of Information and Communication Engineering, Dalian Minzu University.
  • Chunjuan Bo, School of Information and Communication Engineering, Dalian Minzu University.
  • Chong Feng, School of Information and Communication Engineering, Dalian Minzu University.