Face Detection Using an Implementation Running in a Web Browser

被引：3
|
作者：
Klym, Halyna [1 ]
Vasylchyshyn, Ivanna [2 ]
机构：
[1] Lviv Polytech Natl Univ, Specialized Comp Syst Dept, Lvov, Ukraine
[2] Lviv Polytech Natl Univ, Theoret & Gen Elect Engn Dept, Lvov, Ukraine
来源：
PROCEEDINGS OF 2020 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING (CPEE) | 2020年
关键词：
face recognition system; machine learning; Node.[!text type='js']js[!/text] library;
D O I：
10.1109/cpee50798.2020.9238754
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A face recognition system using machine learning has been developed. Node.js, Face-recognition.js, Dlib technology stacks were chosen to implement the system. The choice of means of realization of the client and server parts is carried out, the architecture of the application is defined. A desktop application has been created. An interface based on the HTML framework of the Twitter Bootstrap framework was developed and a comprehensive system testing was performed.
引用
收藏
页数：4
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