Face recognition system based on convolutional neural network

Abstract

The invention discloses a face recognition system based on a convolutional neural network, and the system is characterized in that the system comprises an AI edge algorithm server, an IOT Internet ofThings platform, and a face recognition management platform, and mutual data transmission is carried out among them; the AI edge algorithm server is further connected with the face recognition camera,sends a control instruction to the face recognition camera and receives data fed back by the face recognition camera; the AI edge algorithm server is used for starting a face recognition camera to capture a video, carrying out human face comparison on personnel appearing in the video data, when the comparison result information is stored, sending identification information to the IOT Internet ofThings platform, sending video data to the face recognition management platform through the IOT Internet of Things platform, and receiving update data of the face recognition management platform for the face information from the IOT Internet of Things platform; and the IOT Internet of Things platform is used for receiving the data sent by the face recognition management platform.

Description

technical field [0001] The invention relates to a face recognition system, in particular to a face recognition system based on a convolutional neural network. Background technique [0002] Face recognition is mainly used for identification, especially in recent years, with the rapid progress of computer technology, image processing technology, pattern recognition technology, etc., a new biometric recognition technology has emerged. Because it can be widely used in many fields such as security verification, video surveillance, access control, etc., with fast recognition speed and high recognition rate, it has become the main development direction in the field of identification technology research. [0003] The current mainstream face recognition acquires face images on the basis of cooperation, and applies classification algorithms for face recognition. There are mainly the following types of methods: methods based on geometric features: detect facial organs such as eyes, ey...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the corresponding relationship of the current background management system is fixed, the management of face recognition is difficult, and it is difficult to interact with users. The purpose of this application document is to provide a face recognition system based on convolutional neural network to solve above question

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