Skripsi

IMPLEMENTASI ALGORITMA YOU ONLY LOOK ONCE (YOLO) UNTUK SISTEM DETEKSI OBJEK PADA MOBILE ROBOT PENGANGKUT BARANG

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This research implements the You Only Look Once (YOLO) algorithm for object detection on a forklift-type mobile robot. The dataset was collected using a Logitech Brio 100 webcam mounted on the forklift, producing 2,080 images across eight object classes. The dataset was annotated and used to train YOLOv8 and YOLOv11 models with various epochs. The results show that YOLOv11 at 100 epochs achieved the best performance, with an accuracy of 91.1% based on the confusion matrix. Real-time testing confirms that the system effectively supports autonomous forklift operation.

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Availability

Detail Information

Series Title

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Call Number

T1905792025

Publisher

Indralaya : Prodi Teknik Elektro, Fakultas Teknik Universitas Sriwijaya., 2025

Collation

xv, 54 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

629.892 07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Elektro
Mobile Robots — Control Systems

Specific Detail Info

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Statement of Responsibility

KA

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