Deteksi Seatbelt Pada Pengendara Mobil Melalui CCTV Menggunakan Metode YOLOv7

Authors

  • I Gede Susrama Mas Diyasa university of Pembangunan Nasional Veteran Jawa Timur
  • Abdul Rahman Nuruddin Universitas Pembangunan Nasional "Veteran" Jawa TImur
  • Basuki Rahmat Universitas Pembangunan Nasional "Veteran" Jawa TImur

DOI:

https://doi.org/10.33050/vht7s540

Keywords:

Seatbelt Detection, YOLOv7, Computer Vision, Real-Time Detection, Traffic Safety

Abstract

The use of seatbelts is crucial for vehicle safety, yet many drivers still neglect it, increasing the risk of injuries and fatalities. This research develops a real-time detection system for seatbelt usage using CCTV footage and the YOLOv7 (You Only Look Once version 7) algorithm. The method involves capturing traffic video, processing it into image frames, and detecting seatbelt usage with high accuracy. Data collection was conducted in several strategic locations in Surabaya, followed by preprocessing and annotation for object detection. The best model was achieved with an 80:20 data split, resulting in a mean Average Precision (mAP) of 0.964, Precision of 0.949, and Recall of 0.949, demonstrating high accuracy and reliability. This system is expected to support traffic law enforcement and enhance safety monitoring through real-time detection

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Published

2026-02-08

Issue

Vol. 12 No. 1 (2026): Journal Cerita: Creative Education of Research in Information Technology and Artificial informatics

Section

Articles

How to Cite

Mas Diyasa, I. G. S., Nuruddin, A. R., & Rahmat, B. (2026). Deteksi Seatbelt Pada Pengendara Mobil Melalui CCTV Menggunakan Metode YOLOv7. Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics, 12(1), 109-116. https://doi.org/10.33050/vht7s540