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20212026
most citedComparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones

4 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model

Gerardo Valente Vazquez-Garcia, Carmina Perez Guerrero, Eduardo Garduño +7

In this work we present a novel framework for fire safety management in industrial settings through the implementation of a smart camera platform for jet flames characterization. T…

cs.CV2022

Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach

Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios +5

Among the different kinds of fire accidents that can occur during industrial activities that involve hazardous materials, jet fires are one of the lesser-known types. This is becau…

cs.CV2022★ 2 cited

Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods

Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +4

Jet fires are relatively small and have the least severe effects among the diverse fire accidents that can occur in industrial plants; however, they are usually involved in a proce…

cs.CV2021★ 4 cited

Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones

Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +3

Risk assessment is relevant in any workplace, however there is a degree of unpredictability when dealing with flammable or hazardous materials so that detection of fire accidents b…