Broadband Infrared Imaging for Enhanced Gas Leak Detection

Jianzhi Fan, Jing Zhou, Jing Zhou, Qi Zhao, Dong Luo, Wei Chen

2025

Abstract

This paper presents a passive broadband infrared imaging system designed for gas leak detection. The system utilizes an optical design optimized for the 3–14 µm range, including a wide-spectrum lens and an uncooled infrared camera. The broadband capability enables the detection of various gases across a wide spectral range. To identify gas leaks, a novel adaptive gas leakage detection algorithm based on YOLOX and traditional image processing techniques is developed. The system’s performance is validated through field experiments with SF6 and CO2 gases, showcasing its ability to accurately detect and segment gas leakage regions. Furthermore, the study investigates the potential for gas composition analysis using the system’s broadband imaging. Future work aims at optimizing the optical design and enhancing detection sensitivity for improved efficiency.

Paper Citation

in Harvard Style

Fan J., Zhou J., Zhao Q., Luo D. and Chen W. (2025). Broadband Infrared Imaging for Enhanced Gas Leak Detection. In Proceedings of the 13th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS; ISBN 978-989-758-736-8, SciTePress, pages 102-108. DOI: 10.5220/0013152300003902

in Bibtex Style

@conference{photoptics25,
author={Jianzhi Fan and Jing Zhou and Qi Zhao and Dong Luo and Wei Chen},
title={Broadband Infrared Imaging for Enhanced Gas Leak Detection},
booktitle={Proceedings of the 13th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS},
year={2025},
pages={102-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013152300003902},
isbn={978-989-758-736-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS
TI - Broadband Infrared Imaging for Enhanced Gas Leak Detection
SN - 978-989-758-736-8
AU - Fan J.
AU - Zhou J.
AU - Zhao Q.
AU - Luo D.
AU - Chen W.
PY - 2025
SP - 102
EP - 108
DO - 10.5220/0013152300003902
PB - SciTePress