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基于视觉识别的工科高校实验室智能识别管理系统研究OA

中文摘要英文摘要

基于视觉识别技术,利用OpenCV进行人脸检测,然后结合LBPH算法实现人脸识别,自动匹配进入实验室人员ID,判断是否有权限进入实验室;利用SIFT算法进行特征提取,将得到的特征与模板图像匹配,实现对电源开关等的智能控制,实现人员离开后自动断电,屏蔽安全隐患,同时判断实验室是否有人进行实验;识别典型操作,预警操作不当等安全隐患,实现工科实验室的智能化管理.

Based on visual recognition technology,OpenCV is used for face identification;and then combined with LBPH algorithm,we realized Face Recognition,which automatically matches the ID of the person who enters the laboratory and determines whether he/she has permission to enter the laboratory;SIFT algorithm is used for feature extraction,and the obtained features are matched with the template image to realize intelligent control of devices like power switches,realize automatic power outage after people leave,shield safety hazards,and then determine whether anyone is conducting experiments in the laboratory;t is also used to identify typical operations,warn of safety hazards such as improper operations,and realize intelligent management of engineering laboratories.

冯月姣;张金钡;蓝锡江

中山大学 电子与通信工程学院,广东 深圳 518107中山大学 电子与通信工程学院,广东 深圳 518107中山大学 电子与通信工程学院,广东 深圳 518107

信息技术与安全科学

视觉识别图像处理LBPH算法高校实验室智能识别管理系统

visual recognitionimage processingLBPH algorithmuniversity laboratoryintelligent recognition management system

《科技创新与应用》 2026 (4)

19-22,4

10.19981/j.CN23-1581/G3.2026.04.004

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