Intelligent Building Safety Monitoring System Based on Computer Vision

Liu Na, Han XueYang, Li YuTong, Pei YuChi

Article ID: 8335
Vol 7, Issue 7, 2024

VIEWS - 44 (Abstract) 38 (PDF)

Abstract


In recent years, building collapse accidents have occurred from time to time in China, causing serious casualties and property losses. In order to monitor the abnormal phenomena of buildings in time, Intelligent Building Safety Monitoring System based on computer vision is proposed. Using ZigBee wireless sensor network, the crack images and sensor monitoring data of monitoring points are obtained and
transmitted to the local control computer. After the data are processed by the integrated crack image recognition and measurement algorithm
based on OpenCV, they are displayed on the terminal monitoring software. If the data is abnormal, the early warning function is triggered,
and the intelligent monitoring and danger early warning functions for building safety are realized.

Keywords


ZigBee; OpenCV; Image Processing; Crack Identification

Full Text:

PDF


References


1. [1] Zhang SuFen. Progressive Collapse Analysis of Reinforced Concrete Frame Structures[D].Hunan University,2008.

2. [2] Yang Wei. Damage Based Seismic Design and Global Seismic Capacity Analysis of Reinforced Concrete Structures[D].Harbin

3. Institute of Technology,2011.

4. [3] Zhang Zhou, Zhuo JianYang,Yan Mo.Research on Application of ZigBee in Smart Home System[J].Industrial Control Computer |

5. Ind Contrl Comput,2006(12):7-9.

6. [4] Peng Wang. Application and research of fire alarm system based on ZigBee technology in engineering construction[D].Yangzhou

7. University,2021.

8. [5] Wan Le. Recognition and Diagnosis of Structural Surface Cracks Based on Machine Vision Technology[D].Nanchang University,2023.

9. [6] Li ShangWen. Design and Implementation of Image Matching System Based on OpenCV [D].Hebei Normal University,2021.

10. [7] Zhang Ping,Kang Gui-xia,Tian Hui.ZigBee—Very Low-Power Wireless Communication Technology[J].ZTE Communications,2006(04):21-25.




DOI: https://doi.org/10.18686/ijmss.v7i7.8335

Refbacks

  • There are currently no refbacks.




Creative Commons License

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