Work

High-precision Wildfire Detection Algorithm Using an Enhanced You Only Look Once Model in a Jetson Xavier Environment

Year: 2025

Type: article

Abstract: The You Only Look Once (YOLO) algorithm is employed to develop a system for detecting wildfire smoke and providing early warnings, with a deep neural network (DNN) as its underlying architecture.To achieve accurate real-time smoke detection, the system was optimized through experiments conducted under diverse conditions.It was then implemented in an embedded computing environment to enhance the efficiency of wildfire detection.The findings demonstrate the effectiveness of this DNN-based smoke detection system in real-world environments.

Source: Sensors and Materials

DOI: 10.18494/sam5716

Authors: Tae-Hwan Kim, Eun-Su Seo, Se-Hyu Choi

Institution: Kyungpook National University

Language: English

Topic: Fire Detection and Safety Systems

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $748

Funders: Kyungpook National University, Commercializations Promotion Agency for R and D Outcomes