., Mardiana and Muhammad, Meizano Ardhi and Mulyani, Yessi (2021) Library Attendance System using YOLOv5 Faces Recognition. In: International Conference on Converging Technology in Electrical and Information Engineering (ICCTEIE), 27-28 October 2021.

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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:	Conference or Workshop Item (Paper)
Subjects:	T Technology > T Technology (General)
Divisions:	Fakultas Teknik (FT) > Prodi Teknik Informatika
Depositing User:	Meizano Ardhi Muhammad
Date Deposited:	07 Feb 2022 01:24
Last Modified:	07 Feb 2022 01:24
URI:	http://repository.lppm.unila.ac.id/id/eprint/39052

Available Versions of this Item

• Library Attendance System using YOLOv5 Faces Recognition. (deposited 07 Feb 2022 01:24) [Currently Displayed]
  • Library Attendance System using YOLOv5 Faces Recognition. (deposited 31 Mar 2023 00:48)

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