Research And Implementation Of Public Security Intelligent Video System

Nowadays,public security work is becoming more and more intelligent and scientific and technological development.How to solve the public security problem with modern science and technology is a major issue that we need to face and think about.Using modern technology to manage and monitor personnel is a major breakthrough in public security science and technology work..The development of face recognition brings a qualitative leap for public security guard against crime,household registration management,and safeguarding social security and stability.Therefore,public security intelligent video system will extensively apply face recognition technology,and based on it,realize its intelligence The rich practical application.Face recognition technology is the earliest study in the middle of the last century,it is a special treatment of human facial information,and then characterize these information to identify intelligent technology,after decades of development has been weak artificial intelligence To strong artificial intelligence transformation.At the same time,with the continuous development of Internet technology,continuous optimization of recognition algorithms,neural network algorithms and the continuous progress of deep learning technologies,face recognition technology has become an important part in the field of biometrics and has activated the potential vitality of the public security intelligent video system.In this paper,the main application of face recognition technology-based intelligent video system design and implementation,which introduced the convolution neural network in the realization of face recognition methods and methods,face recognition in public security intelligent video system design and software implementation,Relying on face recognition technology in the intelligent system of video system architecture and public security rely on intelligent video systems combat application.This article designs face recognition algorithm is based on OpenCV development,mainly frompublic security face recognition needs analysis,system outline design,neural network algorithm and other key technologies,detailed design,system application and function to achieve several aspects to introduce,and finally Run the test and practical application introduction.On the basis of face detection,face recognition is extracted.In the face recognition method,the software mainly uses Convolutional Neural Networks(CNN).The algorithm is a deep learning method specially designed for image classification and recognition which is developed on the basis of multi-layer neural network.Through multiple layers of in-depth study,changing the variable weight,and finally reach the set threshold of the training data as a judgment identification standard.