In industrial environments, the movement of heavy equipment poses significant risks to personnel. This paper presents a Line of Fire (LoF) Detection system that leverages real-time video feeds, object detection, and motion tracking to identify and alert when individuals are in the path of moving equipment, specifically pipes. The system utilizes advanced machine learning models for person detection and pipe segmentation, combined with a robust alert mechanism, to enhance safety measures.

Keywords:
detection, alert, machine learning, personnel, alert mechanism, fire risk detection, platform, pipe, oilfield safety, hazard
Subjects:
Safety, Information Management and Systems, Artificial intelligence
Copyright 2024, Society of Petroleum Engineers DOI 10.2118/221066-MS
You can access this article if you purchase or spend a download.