基于深度学习的智能家庭入侵检测系统设计与实现  

Design and Realization of Intelligent Home Intrusion Detection System Based on Deep Learning

作　　者：王泽鹏 WANG Zepeng(Xi’an Mingde Institute of Technology,Xi’an Shaanxi 710000,China)

机构地区：[1]西安明德理工学院,陕西西安710000

出　　处：《信息与电脑》2024年第18期106-108,共3页Information & Computer

摘　　要：随着智能家居发展,家庭安全备受关注。本设计基于深度学习构建了智能家庭入侵检测系统,在对系统进行需求分析的基础上,精心设计了系统的整体架构,构建了用户权限管理、实时数据监控和异常预警处理等功能模块,并结合中央处理单元、传感器与执行器以及通信接口等硬件模块,实现了对家庭环境的全面监控和入侵行为的智能识别。测试结果表明,系统具有良好的性能,能够有效识别和预警家庭入侵行为。With the development of smart home,home security is of great concern.This design builds a smart home intrusion detection system based on deep learning.Based on the demand analysis of the system,the overall architecture of the system is carefully designed,and functional modules such as user privilege management,real-time data monitoring,and abnormal early warning processing are constructed,which are combined with hardware modules such as the central processing unit,sensors and actuators,and communication interfaces to realize the comprehensive monitoring of the home environment and the intelligent monitoring and intrusion behavior Recognition.Test results show that the system has good performance and can effectively identify and warn home invasion behavior.

关 键 词：智能家居 入侵检测 深度学习 用户权限管理 异常预警 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]