Physical Intrusion Detection System Based on Behavioral Sign Recognition

Shaopeng Liang, Ziqing Wang, Wenwen Chen, Yehan Ren, Qitian Wang
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Abstract

In this paper, we propose an all-weather, multi-angle, dynamic face recognition algorithm for home security. Combined with the gesture recognition algorithm, it is able to effectively react to the intrusion behavior and ensure the security of the user’s property. When the family members’ lives are threatened, they can promptly send out a distress signal to the police to protect the life of the user. At the same time, it will record the criminal course of the intruder, provide convenience for the police to follow up the case, and effectively improve the detection rate of cases such as burglary and robbery. It is of great significance to promote social harmony and stability.
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基于行为符号识别的物理入侵检测系统
本文提出了一种全天候、多角度、动态的家庭安防人脸识别算法。结合手势识别算法,能够有效应对入侵行为,保证用户财产的安全。当家庭成员的生命受到威胁时,可以及时向警方发出求救信号,保护用户的生命安全。同时,它将记录闯入者的犯罪过程,为民警跟进案件提供方便,有效提高入室盗窃、抢劫等案件的侦破率。这对促进社会和谐稳定具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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