Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)

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Confusion Matrix Using Yolo V3-Tiny on Quadruped Robot Based Raspberry PI 3B +

Authors
Amperawan Amperawan1, *, Destra Andika1, Masayu Anisah1, Sabilal Rasyad1, Parni Handayani1
1Department of Electronic Engineering, Politeknik Negeri Sriwijaya, JL.Srijaya Negara, BukitBesar, Palembang, 30139, Indonesia
*Corresponding author. Email: amperawan230567@gmail.com
Corresponding Author
Amperawan Amperawan
Available Online 27 February 2024.
DOI
10.2991/978-94-6463-386-3_56How to use a DOI?
Keywords
Camera; Raspberry PI 3B + ; Robot; YOLO
Abstract

The implementation of Confusion Matrix uses Yolo V3-Tiny to detect objects in the form of person cameras and robots for navigation. It is hoped that the quadrupped robot in this research can be used during natural disasters so that it can recognize people who are still or have died so that they can be identified. However, in the evacuation process there are often obstacles, such as the absence of information on victims and the location of disaster victims and the difficulty of accessing victims of natural disasters. Based on these problems, research was made regarding quadruped robots by applying a confusion matrix using YOLO V3-Tiny to detect victims of natural disasters. The YOLOv3-tiny model or system can detect person objects according to the dataset that has been studied previously and in this research hardware and software design was carried out by implementing the YOLOv3-Tiny model on a Raspberry PI 3B + which was placed on a quadruped robot. The system (model) that has been created with YOLOv3-Tiny is capable of detecting person objects. The system (model) created in this research has an Accuracy value of 100%, a Precision value of 1, a Recall value of 1, an F1 – score of 1.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
Series
Advances in Engineering Research
Publication Date
27 February 2024
ISBN
978-94-6463-386-3
ISSN
2352-5401
DOI
10.2991/978-94-6463-386-3_56How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Amperawan Amperawan
AU  - Destra Andika
AU  - Masayu Anisah
AU  - Sabilal Rasyad
AU  - Parni Handayani
PY  - 2024
DA  - 2024/02/27
TI  - Confusion Matrix Using Yolo V3-Tiny on Quadruped Robot Based Raspberry PI 3B +
BT  - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
PB  - Atlantis Press
SP  - 549
EP  - 562
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-386-3_56
DO  - 10.2991/978-94-6463-386-3_56
ID  - Amperawan2024
ER  -