YOLO-Based Electric Scooter Crackdown Platform 


Vol. 50,  No. 8, pp. 1290-1300, Aug.  2025
10.7840/kics.2025.50.8.1290


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  Abstract

Recently, with the popularity of electric kickboards, concerns over traffic safety problems are increasing. The government revised the Road Traffic Act to expand the allowable range of electric kickboards to strengthen traffic safety, but there are also negative aspects. Most of the shared kickboard users appear to violate the regulations, and traffic accidents are also rapidly increasing. In this situation, this paper developed a model that detects kickboard misconduct using You Only Look Once Version 5. The developed model detects non-worn helmets and multi-seater boarding in real time, identifies users, and collects fines through the web page. Through actual tests, it was confirmed that each model is commercially available as mAP50 = 99.5, mAP50-90 = 99.457, mAP50 = 99.5 and mAP = 81.813. The proposed system based on these results can achieve two major expected effects. First, in terms of strengthening traffic safety, drivers will be fined immediately if they violate the regulations, which is expected to form more responsible and safe driving habits. In addition, it is expected that efficient traffic control will be possible as road safety can be maintained while saving human monitoring personnel.

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[IEEE Style]

Y. Lim, S. Lee, S. Oh, J. Kim, "YOLO-Based Electric Scooter Crackdown Platform," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 8, pp. 1290-1300, 2025. DOI: 10.7840/kics.2025.50.8.1290.

[ACM Style]

Young-Hoon Lim, Seung-Hyun Lee, Sung-Hyun Oh, and Jeong-Gon Kim. 2025. YOLO-Based Electric Scooter Crackdown Platform. The Journal of Korean Institute of Communications and Information Sciences, 50, 8, (2025), 1290-1300. DOI: 10.7840/kics.2025.50.8.1290.

[KICS Style]

Young-Hoon Lim, Seung-Hyun Lee, Sung-Hyun Oh, Jeong-Gon Kim, "YOLO-Based Electric Scooter Crackdown Platform," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 8, pp. 1290-1300, 8. 2025. (https://doi.org/10.7840/kics.2025.50.8.1290)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880