| dc.contributor.author | Aziz, Angelina | |
| dc.contributor.author | Gard, Niklas | |
| dc.contributor.author | König, Markus | |
| dc.contributor.author | Eisert, Peter | |
| dc.contributor.author | Heinbach, Jan Hendrik | |
| dc.contributor.author | Trost, Lukas | |
| dc.date.accessioned | 2026-08-20T21:23:58Z | |
| dc.date.available | 2026-08-20T21:23:58Z | |
| dc.date.copyright | 2025/06/26 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JCCEE5.CPENG-6492.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314389 | |
| dc.description.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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Visual Fire Safety Inspection Framework Using Computer Vision Algorithms | |
| dc.type | Journal Article | |
| dc.journal.volume | 39 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Computing in Civil Engineering | |
| dc.identifier.doi | 10.1061/JCCEE5.CPENG-6492 | |
| dc.journal.fristpage | 04025068-1 | |
| dc.journal.lastpage | 04025068-19 | |
| dc.page | 19 | |
| dc.tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005 | |
| dc.contenttype | Fulltext | |