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    • 03) Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
    • Cilt 12, Sayı 3 (2023)
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    •   DSpace Home
    • 2-DERGİLER
    • 03) Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
    • Cilt 12, Sayı 3 (2023)
    • View Item
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    Deep Learning-Based Automatic Helmet Detection System in Construction Site Cameras

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    Date
    2023
    Author
    KORKMAZ, Adem
    AĞDAŞ, Mehmet Tevfik
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    Abstract
    Ensuring worker safety in high-risk environments such as construction sites is paramount. Personal protective equipment, particularly helmets, is critical 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 real-time safety monitoring. The dataset used for the analysis 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.
    URI
    http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14903
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    • Cilt 12, Sayı 3 (2023) [31]





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