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) |
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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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