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Dergiler / Bitlis Eren Üniversitesi Fen Bilimleri Dergisi / 2023 / Cilt: 12 Sayı: 3

Deep Learning-Based Automatic Helmet Detection System in Construction Site Cameras

Adem KORKMAZ
Mehmet Tevfik AĞDAŞ
Sayfa
773–782
Yayın Tarihi
2023-09-28
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results demonstrate the effectiveness of the YOLOv8 model for accurate and efficient helmet detection in construction sites, paving the way for improved safety monitoring and enforcement in the construction industry.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Ensuring worker safety in high-risk environments such as construction sites is of paramount importance.
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Temel Bulgular & Veri:This study aims to develop an automated helmet detection system using the state-of-the-art YOLOv8 deep learning model to enhance safety monitoring in real-time.
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Sonuç & Katkı:The results demonstrate the effectiveness of the YOLOv8 model for accurate and efficient helmet detection in construction sites, paving the way for improved safety monitoring and enforcement in the construction industry.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Helmet detection · Object detection · YOLOv8

Abstract

Ensuring worker safety in high-risk environments such as construction sites is of paramount importance. Personal protective equipment, particularly helmets, plays a critical role in preventing severe head injuries. This study aims to develop an automated helmet detection system using the state-of-the-art YOLOv8 deep learning model to enhance safety monitoring in real-time. The dataset used for the study consists of 16,867 images, with various data augmentation and preprocessing techniques applied to improve the model's robustness. The YOLOv8 model achieved a 96.9% mAP50 score, outperforming other deep learning models in similar studies. The results demonstrate the effectiveness of the YOLOv8 model for accurate and efficient helmet detection in construction sites, paving the way for improved safety monitoring and enforcement in the construction industry.

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Bu Makaleye Atıf Yap

KORKMAZ, A., AĞDAŞ, M. T. (2023). Deep Learning-Based Automatic Helmet Detection System in Construction Site Cameras. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, Cilt: 12 Sayı: 3, 773–782. https://ajindex.com/articles/966010

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Kaynakça (13)

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