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IoT-Based Emergency Vehicle Detection Using YOLOv8 Cover

IoT-Based Emergency Vehicle Detection Using YOLOv8

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 19 (2025): Issue 2 (June 2025)
By:
Open Access
|Jun 2025

Figures & Tables

Figure 1.

YOLO architecture
YOLO architecture

Figure 2.

Proposed system model
Proposed system model

Figure 3.

Sample dataset
Sample dataset

Figure 4.

Images captured on roads
Images captured on roads

Figure 5.

(a), (b), (c), (d) Sample dataset
(a), (b), (c), (d) Sample dataset

Figure 6.

Emergency vehicle identification using YOLOV8
Emergency vehicle identification using YOLOV8

Figure 7.

Confusion matrix
Confusion matrix

Figure 8.

F1 Confidence curve on the vehicle identification
F1 Confidence curve on the vehicle identification

Figure 9.

Precision confidence curve for the vehicle identification
Precision confidence curve for the vehicle identification

Figure 10.

Precision-Recall curve for different emergency vehicle identification
Precision-Recall curve for different emergency vehicle identification

Figure 11.

Recall-Confidence curve on different vehicles
Recall-Confidence curve on different vehicles
DOI: https://doi.org/10.14313/jamris-2025-018 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 79 - 88
Submitted on: May 24, 2023
Accepted on: Jul 17, 2023
Published on: Jun 26, 2025
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
You Only Look Once (YOLOv8),
Raspberry Pi,
Pi Camera,
Internet of Things (IoT),
emergency vehicles,
simple mail transfer protocol (SMTP),
email notifications
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2025 Syed Suhana, Boppuru Rudra Prathap, Kavish Narang, Ivin Anto, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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