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