Development And Implementation Of Dynamic Face Recognition Software In Public Security Field

With the acceleration of the social development process,the basic living requirements of the people have been satisfied to a large extent,and now people's awareness of sfety is becoming more and more intense.When it comes to safety,it is inseparable from the verification method.The more traditional verification methods include some ID cards and passwords,etc.,but these methods have different levels of drawbacks and deficiencies,such as easy to forget or lose,easy to be stolen,etc.,but face recognition has many advantages such as easy collection,friendliness,etc.,is a very popular creature today.A kind of feature recognition,which has great development potential and strong advantages.At the same time,in practical applications in our lives,dynamic face recognition is closer to the actual application scenario than static face recognition.Nowadays,face recognition technology is widely used in social security management,such as some suspects,missing children,and crossage face information retrieval.It has played a very strong role in promoting the public security organs to resolve cases and maintain social stability.However,the application in the public security system will require more real-time performance and the blacklist database will be larger.This topic focuses on the application and development trend of dynamic face recognition technology in the public security industry,focusing on dynamic face recognition and recognition in static face recognition and dynamic face monitoring.The system can be applied.In areas such as stations,airports,subways and other key places and crowded public places,as well as schools,hospitals and other enterprises and institutions,such as security,security,security,anti-counterfeiting and other fields.This thesis mainly studies the application and development trend of face recognition technology in security work.The main research content is divided into five parts.The first part is the research background and significance of the system.The second part mainly discusses the main difference between dynamic face recognition and static face recognition technology.At the same time,it analyzes the sparse representation of face recognition,subspace representation,neural network face recognition,The technical realization of the main technical research level and research direction of PCA principal component analysis;the third part is about the comparison between the actual design and implementation of the system and the effect;the fourth part mainly discusses the dynamic face recognition technology in the public security industry.In the last part,the fourth part mainly introduces the system realization process of dynamic face recognition more applicable to the public security industry,as well as the application and development trend of dynamic face recognition in the public security industry.