Open AccessResearch on Automated Information System of Non-sense Attendance Using Face Recognition and Large Database
Author(s) -
Taiyou Wang,
Litiao Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/4/042010
Subject(s) - attendance , computer science , face (sociological concept) , facial recognition system , database , face detection , artificial intelligence , pattern recognition (psychology) , social science , sociology , economics , economic growth
In order to meet the needs of today’s large-scale enterprise human resource management attendance business, this paper designs an embedded face recognition attendance system, and designs and analyses the implementation method of the system in detail. The system consists of two parts: face-swiping attendance and attendance management. Among them, face-swiping time attendance uses the Face Boxes model to detect faces, and the Face Net model to identify the person who punches in. Tests have found that the system is simple to operate, has high recognition accuracy, and has a certain practical value.