Artificial intelligence convolutional neural network face recognition system

Abstract

The invention relates to an artificial intelligence convolutional neural network face recognition system. The system comprises a shooting terminal (100), a network (200), a server (300), a convolutional neural network module (400), an artificial intelligence early warning operation system (500), a cloud computing unit (600), a comparison analysis with a cloud database face blacklist unit (700), atarget person identity determination unit (800) and a local database module (900). The method comprises the following steps: acquiring an image or video stream containing a face by using a shooting terminal through an artificial intelligence convolutional neural network face recognition system, automatically detecting and tracking the face in the image, and further performing a series of technicalprocessing related to the face on the detected face, including face detection, face key frame extraction and face verification; all-weather 24-hour uninterrupted monitoring on the periphery of the shooting terminal is realized, a user can realize information sharing, the utilization rate of information resources is improved, and the safety guarantee is increased for maintaining the stability of social security.

Description

technical field [0001] The invention relates to the field of intelligent security early warning, in particular to an artificial intelligence convolutional neural network face recognition system for security and stability maintenance. Background technique [0002] The artificial intelligence convolutional neural network face recognition system combines advanced shooting terminal technology, central processing unit CPU, image processor GPU, neural network processor NPU, heterogeneous / reconfigurable processor technology, convolutional neural network technology, AI computer early warning processing technology, AI artificial intelligence early warning operation technology, risk factor collection technology, risk factor identification technology, big data analysis technology, cloud computing technology, cloud storage technology, cloud database technology, etc. are effectively integrated and applied to the entire artificial intelligence convolution Neural network face recognition s...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to overcome the problems of non-automatic face recognition, loopholes in monitoring measures, and untimely prevention in the existing security system, and proposes an artificial intelligence convolutional neural network face recognition system, which can detect the source of risk factors through a shooting terminal. Deploy control, collect face information of risk source factors in real time, perform face detection, face target tracking, face image preprocessing, face image feature extraction, face image matching and recognition, and extract feature data of face images Search and compare with the face feature template stored in the database, judge the identity information according to the degree of similarity, set a threshold, and output the matching result when the similarity exceeds this threshold

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