Vision LLM-Driven operational hazard recognition for building fire safety compliance checking

Building fire incidents pose significant risks to human lives and property, making fire safety compliance a critical aspect of building management. Traditional compliance checks are largely manual, relying on expert inspectors to assess and report on fire safety standards. While prior research has e...

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Bibliographic Details

Main Authors:	Dayou Chen, Long Chen, Yiheng Zeng, Craig Hancock, Russell Lock, Simon Solvsten
Format:	Default Conference proceeding
Published:	2025
Subjects:	Fire Safety Compliance Automated Compliance Checking (ACC) Vision Large Language Models (vLLM) Visual Question Answering (VQA) Computer Vision Operational Phase Monitoring
Online Access:	https://hdl.handle.net/2134/28023164.v1
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