Face Recognition Based On Internet Of Things Ecosystem Technology Research

With the rise of artificial intelligence technology,in the large-scale application of the Internet of things today,more and more privacy information will be exchanged through sensors,security and personnel authentication issues are put on the agenda.Through the study of identity authentication in the field of artificial intelligence,this paper introduces the basic idea and performance index of face recognition authentication based on the Internet of things system,as well as the construction of the access model of the Internet of things ecological computing platform.After studying the protocol of face feature recognition and key agreement,this paper explores the identity authentication cycle,X.509 certificate and ieeel609.2 certificate encryption package of face recognition technology in the Internet of things.Then,based on the technology of segmented face recognition,encrypted band transmission,encapsulation system decryption and so on,it is used to establish and realize the high-density face recognition authentication technology system.Compared with the current recognition technology,the face recognition technology in this paper has a great improvement in recognition rate and security.The simulation results show that the scheme of face recognition system based on partial encryption package not only guarantees the high quality and recognition rate of face recognition data transmission,but also ensures the high concealment of data,and is not limited by key distribution and management.This scheme not only reduces the energy consumption of the network,but also improves the network life and effectively balances the network load.Finally,the Gauss model of color optimization and skin color detection model is used to achieve accurate recognition of facial features to optimize the face recognition system,so as to achieve high-precision face recognition analysis.Finally,experiments and tests show that the optimized face recognition system can be used in mass production and make its own contribution to the security of the Internet of things.