基于人脸识别的智能视频监控报警系统设计
Design of Intelligent Video Surveillance Alarm System Based on Face Recognition
刘玉蕾 1李永锋 1付麦霞 1周飞1
作者信息
- 1. 河南工业大学信息科学与工程学院,河南 郑州 450001
- 折叠
摘要
随着计算机技术和图像处理技术的不断发展,智能视频监控的重要性日益显现.但是传统报警系统效率低、误码率高,安全性相对不足.立足于现代住宅防盗的实际需要,提出了利用Python语言、OpenCV技术和软件工程的设计思想,实现一款基于人脸检测识别的自动报警系统设计,可以安全识别人脸信息,从而判断是用户还是陌生人入侵,达到入侵检测和自动报警的功能.
Abstract
With the continuous development of computer technology and image processing technology,the impor-tance of intelligent video surveillance is becoming increasingly apparent.However,the traditional alarm system has low efficiency,high error rate and relatively insufficient security.Based on the actual needs of modern residential anti-theft,it is proposed the design idea of using Python language,OpenCV technology and software engineering to real-ize an automatic alarm system design based on face detection and recognition,which can safely identify face infor-mation,so as to determine whether it is a user or stranger intruding,and achieve the function of intrusion detection and automatic alarm.
关键词
目标检测/人脸识别/视频监控/PythonKey words
object detection/face recognition/video surveillance/Python引用本文复制引用
基金项目
河南省青年骨干教师培育计划(2020GGJSO84)
河南工业大学青年骨干教师培育计划()
河南省高等教育教学改革研究与实践项目(2021SJGLX394)
河南工业大学教育教学改革与研究实践项目(JXYJ2020003)
出版年
2024
NETL
NSTL
万方数据