Design And Implementation Of Face Recognition System Based On Raspberry Pi

With the continuous improvement of living standards and continuous advancement of science and technology,people have also put forward higher requirements for living conditions.Intelligent access control systems are also a product of this background.The intelligent access control system refers to Cloud Services,Internet of Things Technology,Security Technology,Artificial Intelligence and other related technologies,as well as the development direction of the new generation of access control systems proposed through integration.The proposed direction can further enhance the safety and convenience of homes,so as to effectively promote the construction of smart communities and help the development of smart cities.Because the use of access control systems is mainly in high-grade residential areas,offices,etc.,where there is a high requirement for safety awareness.Therefore,in the field of intelligent access control,the safety verification of equipment has become a key research direction for relevant manufacturers and developers.There are several traditional ways to solve the device's security verification problems such as:fingerprint identification,face recognition,iris recognition,etc.In view of the concept of the Internet of Things and the rapid development of face recognition technology,taking into account the shortcomings of the traditional access control system,this paper designed and implemented a face recognition access control system based on the Raspberry Pi.The main work of this thesis is as follows:1.First,the research status,development history and related representative achievements of the access control system at home and abroad are described.Then,the related processes,theories and methods of face recognition are summarized and studied.2.The overall structure of the access control system is designed.The Raspberry Pi 3B development board is used as the main control module and other hardware modules to set up the hardware system for the sub-modules.Then the access control system operating environment and the various sub-modules are programmed and controlled.3.For the system,we choose a suitable face recognition algorithm,and compare and test through four kinds of face recognition algorithms.Finally we use Face++face recognition algorithm with a recognition rate of 94%as the final algorithm of this thesis.At the same time taking into account the limitations of face recognition technology,finally proposed a remote control solution.