Sistem Deteksi Jumlah Domba Di Peternakan Sultan Farm Jember Secara Realtime Menggunakan Metode Yolo

Prasetya, Indra (2023) Sistem Deteksi Jumlah Domba Di Peternakan Sultan Farm Jember Secara Realtime Menggunakan Metode Yolo. Undergraduate thesis, Politeknik Negeri Jember.

[img] Text (Abstract)
abstrak (inggris).pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (113kB)
[img] Text (Bab 1 Pendahuluan)
BAB I - SISTEM DETEKSI JUMLAH DOMBA DI PETERNAKAN SULTAN F.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (122kB)
[img] Text (Daftar Pustaka)
Daftar Pustaka - SISTEM DETEKSI JUMLAH DOMBA DI PETERNAKAN SULTAN F.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (122kB)
[img] Text (Laporan Lengkap)
revisi (2).pdf
Restricted to Registered users only

Download (3MB) | Request a copy

Abstract

You Only Look Once (Yolo) is an algorithm developed to detect objects in real-time. The detection system that carried out is to use a repurpose classifier or localizer to perform detection. The purpose of this study is to apply the YOLO method on cctv cameras to detect sheep in the farm by predicting and labeling objects in the inputted image. The results will be compared in the use of which model is the most suitable to be applied by the use of CCTV in the future. speed comparison and FPS (Frame Per Second) will be displayed in tabular form by seeing if the model used can work properly on the system. The study will also assess the advantages and disadvantages of each model used in its application.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorMukhamad Angga Gumilang, Angga0012089401
Uncontrolled Keywords: Detection, Yolo, Camera, Training Data
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir
Depositing User: Indra Prasetya
Date Deposited: 04 May 2023 01:22
Last Modified: 05 May 2023 00:53
URI: https://sipora.polije.ac.id/id/eprint/22448

Actions (login required)

View Item View Item