Translator Disclaimer
Paper
24 February 2020 An ANN–based embedded hardware for gas leak detection using a SWIR imaging system
Author Affiliations +
Proceedings Volume 11299, AI and Optical Data Sciences; 1129917 (2020) https://doi.org/10.1117/12.2564103
Event: SPIE OPTO, 2020, San Francisco, California, United States
Abstract
This paper suggests a new short wave infrared (SWIR)-imaging technique which can overcome these limitations. In addition to a two dimensional (2D) SWIR camera, the system also comprises a 2D visible light camera, an Inertial Measurement Unit (IMU), and global positioning system (GPS) to accurately determine the location of the leak using image correlation and triangulation techniques. The paper also suggests a low cost experimental setup used to assess the performance of the system to accurately quantify and localize CH4 gas leak. An Artificial Neural Network (ANN), was assessed using this setup. Series of extensive experimental tests demonstrate the capability of the system to detect, quantify, and localize CH4 gas leak for different scenarios. The corresponding results reveal that the ANN algorithm yields accurate results for gas mass leak measurement and localization using a SWIR optical filter. Uncertainties of gas mass leak flow measurement did not exceed 2.1% and 3.76% using a SWIR LED source with and without a SWIR filter respectively. This leads to state that the suggested system can be a tangible alternative for next generation leak detection systems.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Alhosani, F. Alhmoudi, M. Almurshidi, and M. Meribout "An ANN–based embedded hardware for gas leak detection using a SWIR imaging system", Proc. SPIE 11299, AI and Optical Data Sciences, 1129917 (24 February 2020); https://doi.org/10.1117/12.2564103
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Evolution of EO/IR technology and systems
Proceedings of SPIE (September 19 2013)
Accurate color with increased sensitivity using IR
Proceedings of SPIE (February 15 2012)
Real-time landmark-based optical vehicle self-location
Proceedings of SPIE (August 23 1995)
Modified pressure system for imaging egg cracks
Proceedings of SPIE (April 15 2008)

Back to Top