摘要
人脸识别技术在安防,商业,金融等领域都有广泛的应用.针对目前人脸识别系统成本高,易用性低等现象,提出了基于树莓派(Raspberry Pi)实现人脸识别的方案.首先利用OpenCV计算机视觉库中的Harr级联方法,对图像中的人脸进行定位;然后利用改进的MobileNetV2网络模型对人脸进行特征提取和分类,得到一个优化的人脸识别模型;最后将模型移植到Raspberry Pi进行人脸识别.该模型对图库中的人识别准确率为95%,对陌生人识别准确率为80%.实验结果表明该系统进行人脸识别工作稳定,识别速度快,应用场景广.
Face recognition technology is widely used in security,business,finance and other fields.In view of the high cost and low ease of use of existing face recognition systems,a scheme based on Raspberry Pi for face recognition is proposed.First,the Harr cascade method is adopted in the OpenCV computer vision library to locate the faces in images.Then the improved MobileNetV2 model is employed to extract and classify the faces to obtain an optimized face recognition model.Finally,the model is ported to Raspberry Pi for face recognition.The model has an accuracy of 95%for people in the gallery while 80%for strangers.Experimental results show that the system remains stable in face recognition,with fast recognition speed and wide application scenarios.
作者
赵洋
许军
ZHAO Yang;XU Jun(College of Computer Science and Technology,Shenyang University of Chemical Technology,Shenyang 110142,China)
出处
《计算机系统应用》
2021年第8期67-72,共6页
Computer Systems & Applications
