• Experiment Science and Technology
  • Vol. 21, Issue 6, 36 (2023)
Shuoqi REN1, Ting WANG2、*, Zihao YANG1, Zhe LI3, and Bifei LI2
Author Affiliations
  • 1School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • 2School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China
  • 3School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
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    DOI: 10.12179/1672-4550.20220667 Cite this Article
    Shuoqi REN, Ting WANG, Zihao YANG, Zhe LI, Bifei LI. Design and Implementation of an Intelligent Identification System for Ancient Building Fireworks Detection[J]. Experiment Science and Technology, 2023, 21(6): 36 Copy Citation Text show less

    Abstract

    In order to detect fires in ancient buildings, a device for automatic smoke and fire detection and recognition based on the improved YOLO algorithm instead of human and traditional sensors is designed and analyzed around the clock. FPN is utilized to solve the problem of the existence of small flames that are not easy to be detected in ancient buildings, and a flame detection system is established on the basis of the CNN model. In order to improve the accuracy of detection and reduce the probability of false alarms, electronic sensors are inserted into this system in order to further detect signals such as temperature and smoke. The experimental results show that the improved algorithm model improves the accuracy and real-time performance of fire detection, and the recognition accuracy can reach more than 96%.
    Shuoqi REN, Ting WANG, Zihao YANG, Zhe LI, Bifei LI. Design and Implementation of an Intelligent Identification System for Ancient Building Fireworks Detection[J]. Experiment Science and Technology, 2023, 21(6): 36
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