EN
A YOLOv3-Based Smart City Application For Children’s Playgrounds
Abstract
According to the reports of Public Health Institution, approximately 250,000 rabies-risk animal bites occur per year in Turkey. Most of these bites are caused by dogs and most of the victims are the children who play in playgrounds. With the development of deep learning-based computer vision technology, autonomous detection of dangerous objects (handguns, knives, dogs, etc.) in these children’s playgrounds has become a crucial security application. In this paper, a real-time dog detection model based on YOLOv3 deep learning algorithm is proposed as a new smart city security application and this model is applied to the selected children’s playground. Firstly, in view of the problem of insufficient stray dog image data in the original datasets, new images of stray dogs have been taken from an animal shelter and they have been added to the dataset. These new images have effectively enriched the diversity of training data and improved the training performance of the proposed model. The proposed model has been optimized by utilizing various hyperparameters and the results have been compared with each other. The model with the best evaluation scores is proposed and applied to detect dogs automatically by the fast emergency station located in the selected children’s playground. The real-time application has achieved 82.59% of AP with adjusted hyperparameters.
Keywords
Thanks
We would like to thank Bursa Metropolitan Municipality for providing the fast emergency stations and the other resources for conducting our experiments.
References
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- Gunduz, T., Elcioglu, O. and Balci, Y. (2011). An Evaluation of Dog And Cat Bites For a Five Year Period: A Sample Case From Eskisehir, Turkish Journal of Trauma and Emergency Surgery, 17(2):133–140.
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
June 30, 2021
Submission Date
October 20, 2020
Acceptance Date
December 13, 2020
Published in Issue
Year 2021 Volume: 5 Number: 1
APA
İnkaya, M. F., & Gürkan, H. (2021). A YOLOv3-Based Smart City Application For Children’s Playgrounds. Journal of Innovative Science and Engineering, 5(1), 25-40. https://doi.org/10.38088/jise.813664
AMA
1.İnkaya MF, Gürkan H. A YOLOv3-Based Smart City Application For Children’s Playgrounds. JISE. 2021;5(1):25-40. doi:10.38088/jise.813664
Chicago
İnkaya, Mehmet Fatih, and Hakan Gürkan. 2021. “A YOLOv3-Based Smart City Application For Children’s Playgrounds”. Journal of Innovative Science and Engineering 5 (1): 25-40. https://doi.org/10.38088/jise.813664.
EndNote
İnkaya MF, Gürkan H (June 1, 2021) A YOLOv3-Based Smart City Application For Children’s Playgrounds. Journal of Innovative Science and Engineering 5 1 25–40.
IEEE
[1]M. F. İnkaya and H. Gürkan, “A YOLOv3-Based Smart City Application For Children’s Playgrounds”, JISE, vol. 5, no. 1, pp. 25–40, June 2021, doi: 10.38088/jise.813664.
ISNAD
İnkaya, Mehmet Fatih - Gürkan, Hakan. “A YOLOv3-Based Smart City Application For Children’s Playgrounds”. Journal of Innovative Science and Engineering 5/1 (June 1, 2021): 25-40. https://doi.org/10.38088/jise.813664.
JAMA
1.İnkaya MF, Gürkan H. A YOLOv3-Based Smart City Application For Children’s Playgrounds. JISE. 2021;5:25–40.
MLA
İnkaya, Mehmet Fatih, and Hakan Gürkan. “A YOLOv3-Based Smart City Application For Children’s Playgrounds”. Journal of Innovative Science and Engineering, vol. 5, no. 1, June 2021, pp. 25-40, doi:10.38088/jise.813664.
Vancouver
1.Mehmet Fatih İnkaya, Hakan Gürkan. A YOLOv3-Based Smart City Application For Children’s Playgrounds. JISE. 2021 Jun. 1;5(1):25-40. doi:10.38088/jise.813664
