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    Visual Fire Safety Inspection Framework Using Computer Vision Algorithms

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    JCCEE5.CPENG-6492.pdf (4.123Mb)
    Date
    2025
    Author
    Aziz, Angelina
    Gard, Niklas
    König, Markus
    Eisert, Peter
    Heinbach, Jan Hendrik
    Trost, Lukas
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    Abstract
    AbstractThe integration of building information modeling (BIM) and computer vision in fire safety inspections offers a promising avenue to enhance efficiency and accuracy. This study presents a proof of concept for a machine learning (ML)-based framework ...Practical ApplicationsEnsuring fire safety in buildings requires accurate and efficient inspections, yet traditional methods often rely on time-consuming manual processes. This research presents a new approach to automate fire safety inspections using ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314389
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