摘要
提出了一种基于人脸识别的变电站智能安防系统,该系统采用MTCNN模型对摄像头采集到的图像进行人脸检测和人脸关键点定位,然后利用FaceNet模型进行人脸特征提取,利用SVM分类器模型进行人脸的分类识别,实现对进入变电站人员的自动识别,实现智能监控和管理。
A substation intelligent security system based on face recognition is proposed. The system uses mtcnn model to detect face and locate face key points on the images collected by the camera, then uses facenet model to extract face features, and uses SVM classifier model to classify and recognize faces, so as to realize the automatic recognition of people entering the substation, realize intelligent monitoring and management.
作者
谢丽
XIE Li(Guangzhou City Institute of Technology,Guangzhou 510800,China)
出处
《电子技术(上海)》
2021年第9期20-21,共2页
Electronic Technology
关键词
智能监控
特征提取
人脸识别
intelligent monitoring
feature extraction
face recognition