基于嵌入式的人脸识别签到系统研究

北京理工大学珠海学院2020届本科生毕业论文Research and implementation of face recognition sign in systembased on EmbeddedAbstractWith the rapid development of computer technology and biology technology,face recogni-tion technology has made great progress,its reliability and security have been guaranteed,and it has been widely used in payment,transportation and other fields.In the life commonapplication in the mobile phone unlocking,the identity authentication,the mobile paymentand so on.However,face recognition needs to distinguish from static photos,and needs torecognize the dynamic face,which contains complex and large amount of detail changes.The problem with face recognition today is that it's not a one size fits all thing.A typi-cal face might have glasses,a beard,a girl,and possibly makeup.And as a 3D,the faceis also influenced by factors such as light.For Machines,further research and systematicimprovements are needed to identify the effects of these factors.OPENCV as a computer vision library,based on BSD open source,with cross-platformindependent characteristics,can be a variety of types of image and video processing.Inthis paper,the research status,development prospect,development direction and visionprinciple of face recognition are briefly introduced.The OPENCV library based on pythonlanguage is used to process the image and complete the input signal to the camera and theface recognition based on Keras deep learning network framework.Keywords:Face recognition OpenCV computer vision Keras deep learning