Development Of Village Medical System Based On Aliveness Detection

With the rapid development of computer technology,multimedia technology,artificial intelligence technology,etc.,the application of image recognition technology has developed particularly rapidly in recent years.Among them,face recognition has attracted the most attention.In the face recognition application,the living body detection verifies whether the user is the real living body through the key point positioning of the face,face tracking,micro-texture and facial image information analysis.It can effectively resist common attack methods such as photos,face changes,masks,occlusions,and screen remakes,thereby helping users identify fraud and protecting users' interests.It has been widely used in many fields,but its application in related fields in the medical field has yet to be developed and improved.Based on the analysis and learning of face live detection and witness comparison algorithms and related knowledge,this thesis designs and implements a village medical system based on aliveness detection: the village medical system uses mobile phones to collect live video and image information and uses machine learning to automatically determine whether the working process of the village doctor is in line with the predetermined work plan,accurately determine the current survival situation of the patients at the diagnosis and treatment site,and combine the village doctor's on-site diagnosis and treatment records to conduct unified management of the village doctor and its responsible patients.In order to cooperate with doctors to better understand the patient's situation and obtain more patient-related information,a patient data collection subsystem that can be used in multiple scenarios is also designed and implemented,including questionnaire surveys,video image data collection and analysis functions.It can improve the medical information of patients and provide better medical services.The system uses the SpringBoot architecture to build the server side,Vue.js is used to implement the PC-side management platform,the mobile terminal is an Android mobile device,and the MySQL database and image server are used for data storage.The transmitted video files are stored on the local server.The test results show that the entire village medical system operates well.