Fahrezi, Muhammad Azril
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Implementasi YOLOv8 Dalam Penghitung Masuk dan Keluar Manusia Pada Gedung Fahrezi, Muhammad Azril; Widiyanto, Eka Puji
JATISI Vol 11 No 3 (2024): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v11i3.9050

Abstract

The rapid development of technology has made various human activities more efficient and easier to carry out. One of the innovations commonly used in communication technology is surveillance cameras. Surveillance cameras can be utilized as security monitoring tools, such as counting the number of people entering and exiting a building. Counting the number of people entering and exiting is a method often used as a security measure or for evaluating business premises. However, many buildings or businesses still manually count the number of people entering and exiting, which can lead to errors in the counting process. The aim of this research is to develop an application that can automatically count the number of people entering and exiting a building using a camera. The method used is You Only Look Once Version 8 (YOLOv8). YOLOv8 is a fast and accurate object detection model. The implementation results showed a precision of 79.6%, a recall of 61.7%, and a mean average precision (mAP) of 72.3%.