Research on Campus Attendance System Based on Face Recognition and Trajectory Tracking

Abstract The traditional Morning jog attendance in colleges and universities is limited to manual supervision by swiping card attendance, which is prone to queuing and sign-in on behalf of others. In addition, the lack of quantitative records of exercise data makes supervision difficult. Location-ba...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 769; no. 4; pp. 42065 - 42071
Main Authors Cao, Fengping, Zhu, Lin
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.05.2021
Subjects
College campuses
Colleges & universities
Data recording
Education
Face recognition
Geofences
Pattern recognition
Time and attendance systems
Tracking
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Summary:Abstract The traditional Morning jog attendance in colleges and universities is limited to manual supervision by swiping card attendance, which is prone to queuing and sign-in on behalf of others. In addition, the lack of quantitative records of exercise data makes supervision difficult. Location-based attendance systems represented by Dingding time attendance, or simple face recognition attendance systems cannot achieve accurate attendance. The campus happy running system based on face recognition and trajectory tracking innovatively combines face recognition and trajectory tracking, and students achieve accurate attendance certification within the designated “geo-fence”. Practice shows that the system can meet the special needs of colleges and universities for Morning jog attendance and data recording, and it effectively improves the accuracy of identity verification.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/769/4/042065