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校园安防监测预警系统设计与实现

Design and implementation of campus security monitoring and early warning system

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随着近几年教育事业不断发展,高校规模不断扩大,对校园安全管理工作也提出了更高的要求.文章设计了一套校园安防监测预警系统,通过摄像头、智能门禁、人脸识别等智能物联设备实时获取监测数据,通过SpringBoot、Vue框架搭建系统的基础架构,实现前、后端分离,使用人员通过前端页面对系统进行相应操作,后端业务实现相关算法的集成,为系统功能提供有力支撑.
With the continuous development of education in recent years,the scale of universities has been expanding,and higher requirements have been put forward for campus security management.This article designs a campus security monitoring and early warning system,which uses intelligent IoT devices such as cameras,smart access control,and facial recognition to obtain real-time monitoring data.The system's infrastructure is built through SpringBoot and Vue frameworks to achieve front-end and back-end separation.Users can perform corresponding operations on the system through the front-end page,and integration of relevant algorithms is implemented through the back-end business,which provides strong support for system functions.

security systemsmart campusSpringBoot

魏海明、张芯语

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兰州石化职业技术大学,甘肃 兰州 730060

安防系统 智慧校园 SpringBoot

甘肃省科技计划软科学专项

20CX9ZA020

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(16)