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。
With the continuous development of computer technology and image processing technology,the importance 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 realize an automatic alarm system design based on face detection and recognition,which can safely identify face information,so as to determine whether it is a user or stranger intruding,and achieve the function of intrusion detection and automatic alarm.
作者
刘玉蕾
李永锋
付麦霞
周飞
LIU Yulei;LI Yongfeng;FU Maixia;ZHOU Fei(College of Information Science and Engineering,Henan University of Technology,Zhengzhou450001,China)
出处
《电子质量》
2024年第1期32-36,共5页
Electronics Quality
基金
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)资助。
