DESIGN OF OBJECT DETECTION SYSTEM USING YOU ONLY LOOK ONCE (YOLO) ALGORITHM ON ROBOT ARM

Maulana, Irfan (2024) DESIGN OF OBJECT DETECTION SYSTEM USING YOU ONLY LOOK ONCE (YOLO) ALGORITHM ON ROBOT ARM. Tugas Akhir thesis, University of Technology.

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Abstract

ABSTRACT The application of image processing techniques for object detection in the robotic arm technology system is a development that aims to improve the ability of the robotic arm to classify and manipulate objects with a high level of accuracy. This study focuses on the integration of the YOLO (You Only Look Once) algorithm with the robotic arm, optimizing the object recognition process in real-time. Based on several tests that have been carried out, the results of object detection using YOLO are in accordance with the actual object with a 100% conformity rate and an average confidence value of 0.84. This system can also send data to the robotic arm controller, namely Arduino, with a delivery success rate of 100%. The average percentage of error in testing the x-axis object coordinates is 8.83% and on the y-axis is 1.08%.. Keywords: You Only Look Once, Image Processing, Robot Arm

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Sains Dan Teknologi > S1 Teknik Elektro
Depositing User: Kaprodi Teknik Elektro
Date Deposited: 07 Aug 2024 03:46
Last Modified: 07 Aug 2024 03:46
URI: http://eprints.uty.ac.id/id/eprint/15849

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