YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Computing in Civil Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Visual Fire Safety Inspection Framework Using Computer Vision Algorithms

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005::page 04025068-1
    Author:
    Aziz, Angelina
    ,
    Gard, Niklas
    ,
    König, Markus
    ,
    Eisert, Peter
    ,
    Heinbach, Jan Hendrik
    ,
    Trost, Lukas
    DOI: 10.1061/JCCEE5.CPENG-6492
    Publisher: American Society of Civil Engineers
    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 ...
    • Download: (4.123Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Visual Fire Safety Inspection Framework Using Computer Vision Algorithms

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314389
    Collections
    • Journal of Computing in Civil Engineering

    Show full item record

    contributor authorAziz, Angelina
    contributor authorGard, Niklas
    contributor authorKönig, Markus
    contributor authorEisert, Peter
    contributor authorHeinbach, Jan Hendrik
    contributor authorTrost, Lukas
    date accessioned2026-08-20T21:23:58Z
    date available2026-08-20T21:23:58Z
    date copyright2025/06/26
    date issued2025
    identifier otherJCCEE5.CPENG-6492.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314389
    description abstractAbstractThe 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 ...
    publisherAmerican Society of Civil Engineers
    titleVisual Fire Safety Inspection Framework Using Computer Vision Algorithms
    typeJournal Article
    journal volume39
    journal issue5
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6492
    journal fristpage04025068-1
    journal lastpage04025068-19
    page19
    treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian