Police Face-recognition System Design And Implementation

In recent years,with the vigorously promotion of urban construction--"The national capital region Safe Beijing ",with the promotion of 2016 G20 Summit in Hangzhou,2022 the Winter Olympics and other major national sports events,more and more high-definition(HD)camera monitoring network deployed at various important places.This is the required auxiliary hardware of development of the municipal government in future,the installation and popularization of hardware and the exploitation and application of software are also important.Especially the camera monitoring systems all over important areas are primary auxiliary powers of investigating cases of public security departments.Through the network,camera monitoring equipment in various areas can quickly and accurately position the people flow data of channels and entrances in important areas.By comparison data one by one investigation with the screen uploaded in database system in backstage to automatically detect the feces and characteristic identities.In support of existing theory of technology,this paper mainly conduct a comprehensive description the research status and accomplishment of face recognition.Based on Adaboost Alogorithm,using OpenCV to conduct the facial algorithm experiment.Collecting and summarizing facial detection information through the development enviroment of Microsoft Visual C ++,so as to further achieve detection and screening.In the commissioning phase of testing,designed a face recognition fundamental interface system which is benchmarked against OpenCV,screening and troubleshooting in the face repository of background database.After several design studies,the system continues to be widely used inpractical applications.