Thermal Imaging with AI for Real-Time Human Detection in Fire Emergencies

Savitha P., Dusyanth N. P., Hemanath P., Mohammed Naveeth P.

2025

Abstract

Forest fires are a significant ecological risk because their smoke is an initial warning of risk but initially smoke appears in small hardly noticeable quantities it is hard to identify smoke with pixel-based parameters because the environment is constantly evolving and the dispersion characteristics of smoke are unpredictable this paper presents an innovative framework that minimizes the susceptibility of many yolo detection methods to minor visual interference it further analyzes and contrasts the detection capability and processing time of various versions of yolo ie yolov3 and yolov5the present research scrutinizes a recent human detection scheme for emergency evacuation in smoke-producing low-visibility fire environment utilizing a thermal imaging camera tic that meets national fire protection associations 1801 standards we take low-wavelength infrared LWIR pictures and utilize the yolov4 deep-learning algorithm to recognize objects in real-time while running at 301 frames per second fps the model trained on an Nvidia GeForce 2070 GPU can detect people in smoke environments with more than 95 accuracy this quick detection capability allows for immediate data transmission to command centers to facilitate timely rescue and protection of firemen prior to reaching risky situations.

Paper Citation

in Harvard Style

P. S., P. D., P. H. and P. M. (2025). Thermal Imaging with AI for Real-Time Human Detection in Fire Emergencies. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 608-613. DOI: 10.5220/0013887200004919

in Bibtex Style

@conference{icrdicct`2525,
author={Savitha P. and Dusyanth P. and Hemanath P. and Mohammed P.},
title={Thermal Imaging with AI for Real-Time Human Detection in Fire Emergencies},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={608-613},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013887200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Thermal Imaging with AI for Real-Time Human Detection in Fire Emergencies
SN - 978-989-758-777-1
AU - P. S.
AU - P. D.
AU - P. H.
AU - P. M.
PY - 2025
SP - 608
EP - 613
DO - 10.5220/0013887200004919
PB - SciTePress