舰船电子工程2023，Vol.43Issue(12)：128-131,4.DOI:10.3969/j.issn.1672-9730.2023.12.026
一种舰船人员人脸检测及识别的智能系统设计
Design of an Intelligent System for Ship Personnel Face Detection and Recognition
摘要
Abstract
The Credit granting to personnel in ship cabins is an important component of cabin safety management.Due to the possibility of dark lighting,complex backgrounds,and partial shielding by credit granting personnel in the cabin,it has brought great difficulties to the cabin security credit granting.In order to address a series of issues such as difficult face monitoring and low recognition accuracy in complex environments,this paper proposes a deep learning based MTCNN+FaceNet algorithm for face detec-tion and recognition of ship personnel,which reduces the system's face data to 128 dimensions through data dimensionality reduc-tion.After testing in an open database,the algorithm in this paper is superior to other algorithms in terms of key point detection and execution efficiency.Through experimental verification,it is found that the recognition response speed of this algorithm is about 5ms,and the recognition accuracy is as high as 98%.关键词
人脸识别/MTCNN/FaceNet/深度学习/识别精度Key words
face recognition/MTCNN/FaceNet/deep learning/recognition accuracy分类
信息技术与安全科学引用本文复制引用
徐草草,杨启明,张镘,徐晶..一种舰船人员人脸检测及识别的智能系统设计[J].舰船电子工程,2023,43(12):128-131,4.基金项目
国家自然科学基金项目(编号:61201397) （编号:61201397）
乐山市科技局科技支撑计划(编号:19GZD055)资助. （编号:19GZD055）
