., Mardiana and Muhammad, Meizano Ardhi and Mulyani, Yessi Peer Review - Library Attendance System using YOLOv5 Faces Recognition. Fakultas Teknik Universitas Lampung. (Unpublished)

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Abstract

Recognizing a large number of faces at the same time is an algorithmic and computational challenge. The integration of a facial recognition system with an existing automation system in a library is also a big challenge because of the many sub-systems that operate in it. The aim is to develop a prototype of a library attendance system to assist library management related to facial recognition of users who visit the library. This study uses image processing focuses on object detection using the YOLOv5 algorithm. The library attendance system integrates 3 sub-systems: API service, face recognition using YOLOv5, and visitor identification system. The results obtained are that the library attendance system can function properly, can read the API service, and display information on the results of face detection therefore the system can be used by the existing library automation system

Item Type:	Other
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Teknik (FT) > Prodi Teknik Informatika
Depositing User:	MARDIANA
Date Deposited:	25 Mar 2022 01:12
Last Modified:	25 Mar 2022 01:12
URI:	http://repository.lppm.unila.ac.id/id/eprint/40516

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