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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II

Research Article

Construction Safety Monitoring System Based on UAV Image

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28867-8_40,
        author={E. Yang and Jing Yang and Kangyan Zeng and Yan Zheng},
        title={Construction Safety Monitoring System Based on UAV Image},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2023},
        month={3},
        keywords={UAV image Architectural engineering Construction safety Monitoring system Brisk algorithm Support vector machine},
        doi={10.1007/978-3-031-28867-8_40}
    }
    
  • E. Yang
    Jing Yang
    Kangyan Zeng
    Yan Zheng
    Year: 2023
    Construction Safety Monitoring System Based on UAV Image
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-031-28867-8_40
E. Yang1,*, Jing Yang1, Kangyan Zeng1, Yan Zheng1
  • 1: Department of Architectural Engineering, Chongqing College of Architecture and Technology
*Contact email: eyangYang26785@163.com

Abstract

In the process of construction safety monitoring, the construction image is not corrected, resulting in low monitoring accuracy and high false alarm rate. Therefore, a construction safety monitoring system based on UAV image is designed. The hardware framework of the system is designed by the camera mounted UAV module and stm32f103c8t6 as the system control core through wireless network communication technology. Based on the hardware design, the UAV image is corrected, and the image features are extracted by the brisk algorithm according to the preprocessing results. The kernel function SVM is introduced to classify the UAV images and realize the safety monitoring of engineering construction. The system test results show that the monitoring accuracy of the designed monitoring system is higher than 90%, and the false alarm rate is low. It can monitor the construction safety behavior in real time, and is more flexible and convenient in actual use.

Keywords
UAV image Architectural engineering Construction safety Monitoring system Brisk algorithm Support vector machine
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28867-8_40
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