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dc.contributor.advisorMuhammad Ridwan Andi Purnomo, S.T., M.Sc., Ph. D.
dc.contributor.authorRYAN GERHAN CANNDRIKA
dc.date.accessioned2022-09-21T07:55:44Z
dc.date.available2022-09-21T07:55:44Z
dc.date.issued2022-05
dc.identifier.urihttps://dspace.uii.ac.id/handle/123456789/39372
dc.description.abstractAs the covid-19 pandemic goes on, terms of attendance in education are slowly shifting. To support online learning, attendance in education has a new concept which is “remote attendance”. Advance attendance system is required to support remote attendance procedures. Therefore, this research aims to design and develop an advanced facial attendance system based on a real-time scenario. Three kinds of modules will be featured. The first one is liveness detection, used for detecting whether the face is real or fake. Real-Time attendance system based on facial recognition is the main system that also can record when exactly people conduct their attendance in real-time. Picture capture with time intervals is the last part of the whole system, and this module allows the camera to have the control to take several pictures in between predefined time intervals. The result of this research gives the Researcher the description on how the advance facial recognition attendance system works and developed.en_US
dc.publisherUniversitas Islam Indonesiaen_US
dc.subjectFacial Recognitionen_US
dc.subjectAdvance Facial Attendance Systemen_US
dc.subjectRemote Attendanceen_US
dc.titleDevelopment Of Attendance System Based On Real Time Advanced Facial Recognition Case Study: Vti Joint Stock Company Internshipen_US
dc.Identifier.NIM17522226


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