Intelligent Building Safety Monitoring System Based on Computer Vision

Liu Na; Han XueYang; Li YuTong; Pei YuChi

doi:10.18686/ijmss.v7i7.8335

Home - IJMSS - Volume 7 - Issue 7

Submit to IJMSS

Journal Browser

Volume | Year

Issue

• Current lssue

View All

News and Announcements

Mar 30, 2026

Journal Support Policy Statement: APC Support Policy for 2026 Submissions
Jul 6, 2022

The International Mathematical Union Five Awards ceremony was held at Aalto University

View All

Intelligent Building Safety Monitoring System Based on Computer Vision

Liu Na

Han XueYang

Li YuTong

Pei YuChi

International Journal of Mathematics and Systems Science 2024, 7(7), 8335; https://doi.org/10.18686/ijmss.v7i7.8335

Submitted：01 Aug 2024

Accepted：01 Aug 2024

Published：01 Aug 2024

Download PDF(508.52KB)

Cite

XML

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

References

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

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

Institute of Technology,2011.

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

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

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

University,2021.

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

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

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

Previous
article in this issue

Next
article in this issue