Helmet and License Plate Detection Using YOLOv8 in Parking Areas
Deteksi Penggunaan Helm dan Plat Nomor Menggunakan YOLOv8 di Area Parkir
DOI:
https://doi.org/10.21070/ups.8409Keywords:
Yolo V8, deteksi helm, pelat nomor, CCTV, keselamatan berkendaraAbstract
The rise in traffic violations around school environments, especially by motorcyclists not wearing helmets or using non-standard license plates, is a critical issue requiring effective solutions. Manual monitoring is often limited in effectiveness and lacks real-time responsiveness. This study proposes an automated detection system using the YOLOv8 algorithm to identify helmet usage and license plates. Data were collected from 1920×1080-pixel CCTV cameras installed in the parking area of SMK YPM 8 Sidoarjo, using two acquisition methods: video capture and real-time streaming. The data were annotated, augmented, and trained using YOLOv8 on Google Colab. Results show that video capture achieved higher detection accuracy (70%) compared to real-time streaming (40%). The system can identify violations and display detection outcomes through a web interface. This tool supports traffic discipline monitoring in schools, offering a more efficient and effective alternative to manual observation.
Downloads
References
Muhammad Haidar Rais, M. S. Ir. Ahmad Musnansyah, and S. S. M. T. Dr. Hanif Fakhrurroja, “PENERAPAN ALGORITMA YOLO V8 UNTUK PENGENALAN PENGENDARA SEPEDA MOTOR,” Feb. 2025.
M. A. Meidyan and W. Yustanti, “IMPLEMENTASI METODE YOU ONLY LOOK ONCE (YOLOv5) DALAM DETEKSI PELANGGARAN HELM,” 2024.
M. Yusup Efendi, R. Wulanningrum, A. Bagus Setiawan, and U. Nusantara PGRI Kediri, “Rancang Bangun Sistem Deteksi Manusia dengan YOLO pada video CCTV,” Online, 2024.
M. Hasan Fikri, M. Miftahul Ulum, and N. Latifah Dwi Mutiara Sari, “Literature review Implementasi kecerdasan buatan untuk Prediksi dan Pengelolaan Kemacetan Lalu Lintas di Perkotaan,” Seminar Nasional Informatika-FTI UPGRIS, vol. 2, 2024.
R. Samsinar, G. Gatot Aditya, D. Almanda, F. Amrulloh, and A. Ilmar Ramdhan, “Sistem Pendeteksi Kurir Menggunakan Smart Closed Circuit Television (CCTV) Berbasis Internet Of Things (IoT) dengan Media Komunikasi Bot Telegram (Studi Kasus : Rumah Indekost),” RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer), vol. 6, no. 1, 2023.
M. Yusup Efendi, R. Wulanningrum, A. Bagus Setiawan, and U. Nusantara PGRI Kediri, “Rancang Bangun Sistem Deteksi Manusia dengan YOLO pada video CCTV,” Online, 2024.
D. G. Manurung et al., “Deteksi Dan Klasifikasi Hama Potato Beetle Pada Tanaman Kentang Menggunakan YOLOV8,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 11, no. 4, pp. 723–734, Aug. 2024, doi: 10.25126/jtiik.1148092.
A. Deshpande and K. Warhade, “SADY: Student Activity Detection Using YOLO-based Deep Learning Approach,” vol. 13, no. 4, 2023.
S. Rajakumar and R. B. Azad, “A novel YOLOv8 architecture for human activity recognition of occluded pedestrians,” International Journal of Electrical and Computer Engineering, vol. 14, no. 5, pp. 5244–5252, Oct. 2024, doi: 10.11591/ijece.v14i5.pp5244-5252.
M. Narkhede and N. Chopade, “CycleInSight: An enhanced YOLO approach for vulnerable cyclist detection in urban environments,” International Journal of Electrical and Computer Engineering, vol. 14, no. 4, pp. 3986–3994, Aug. 2024, doi: 10.11591/ijece.v14i4.pp3986-3994.
L. Suroiyah, Y. Rahmawati, and R. Dijaya, “FACEMASK DETECTION USING YOLO V5,” Jurnal Teknik Informatika (Jutif), vol. 4, no. 6, pp. 1277–1286, Dec. 2023, doi: 10.52436/1.jutif.2023.4.6.1043.
R. Dijaya, I. Anshory, R. A. Sukmono, and A. R. Fajaresta, “Facial Fatigue Detection in High-Risk Occupational Environments: Leveraging YOLOv4 for Enhanced Worker Safety,” in 2023 1st International Conference on Advanced Engineering and Technologies, ICONNIC 2023 - Proceeding, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 356–361. doi: 10.1109/ICONNIC59854.2023.10468037.
M. Adrezo and M. Erlan Ardiansyah, “DETEKSI JENIS KELAMIN BERDASARKAN WAJAH MENGGUNAKAN METODE YOLOv8 GENDER DETECTION BASED ON FACE USING THE YOLOv8 METHOD,” Journal of Information Technology and Computer Science (INTECOMS), vol. 7, no. 5, 2024.
M. Ibrahim and U. Latifa, “PENERAPAN ALGORITMA YOLOV8 DALAM DETEKSI WAKTU PANEN TANAMAN PAKCOY BERBASIS WEBSITE,” 2023.
Yanto, Faruq Aziz, and Irmawati, “YOLO-V8 PENINGKATAN ALGORITMA UNTUK DETEKSI PEMAKAIAN MASKER WAJAH,” JATI (Jurnal Mahasiswa Teknik Informatika), Jun. 2023.
I. Maulana, N. Rahaningsih, and T. Suprapti, “ANALISIS PENGGUNAAN MODEL YOLOV8 (YOU ONLY LOOK ONCE) TERHADAP DETEKSI CITRA SENJATA BERBAHAYA,” 2023.
Awan Aprilino and Imam Husni Al Amin, “IMPLEMENTASI ALGORITMA YOLO DAN TESSERACT OCR PADA SISTEM DETEKSI PLAT NOMOR OTOMATIS,” 2022.
Downloads
Additional Files
Posted
License
Copyright (c) 2025 UMSIDA Preprints Server
This work is licensed under a Creative Commons Attribution 4.0 International License.
