基于深度学习的人脸识别算法在安防领域的应用综述

Application of Face Recognition Algorithm Based on Deep Learning in the Field of Security

文章将探讨如何将人脸识别技术运用在安防领域,实现智慧安防。人脸识别技术从上世纪60年代发展到现在,目前人脸识别算法精确率几乎可达100%。现如今基于深度学习的人脸识别算法识别率相对较高,也备受大家欢迎。文章从公共场合治安维护和云端身份认证两个例子,分析目前安防现状、人脸识别技术的原理、性能和准确率、讲述智能安防的应用并进行总结。虽然目前人脸识别算法识别率非常高,但当脸部部分遮住时,识别率会变低,后期也需要我们继续探索在部分脸被遮住的情况下,能达到较高识别精确度的算法。

This paper will discuss how to apply face recognition technology in the field of security to realize intelligent security.With the development of face recognition technology from 1960s to now,the accuracy rate of face recognition algorithm is almost 100%.Nowadays,face recognition algorithm based on deep learning has a relatively high recognition rate and is also popular.From two examples of public security maintenance and cloud identity authentication,this paper analyzes the current security situation,the principle,performance and accuracy of face recognition technology,describes the application of intelligent security and summarizes.Although the recognition rate of the current face recognition algorithm is very high,when the face is partially covered,the recognition rate will be lower.In the later stage,we need to continue to explore the algorithm which can achieve higher recognition accuracy when the face is partially covered.