[2604.03267] A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model

Computer Science > Computer Vision and Pattern Recognition arXiv:2604.03267 (cs) [Submitted on 19 Mar 2026] Title:A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model Authors:Gerardo Valente Vazquez-Garcia, Carmina Perez Guerrero, Eduardo Garduño, Miguel Gonzalez-Mendoza, Adriana Palacios, Gerardo Rodriguez-Hernandez, Vahid Foroughi, Alba Àgueda, Elsa Pastor, Gilberto Ochoa-Ruiz View a PDF of the paper titled A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model, by Gerardo Valente Vazquez-Garcia and 8 other authors View PDF HTML (experimental) Abstract: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. The approach seeks to alleviate the lack of real-time solutions for industrial early fire segmentation and characterization. As a case study, we demonstrate how a SoC FPGA, running optimized Artificial Intelligence (AI) models can be leveraged to implement a full edge processing pipeline for jet flames analysis. In this paper we extend previous work on computer-vision jet fire segmentation by creating a novel experimental set-up and system implementation for addressing this issue, which can be replicated to other fire safety applications. The proposed platform is designed to carry out image processing tasks in real-time a...