Presenter(s)

    Benjamin E Natarian

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    Description

    Currently detecting a natural gas leak requires a boots on ground approach with handheld and vehicle mounted chemical sensors. The goal of this research is to create an automatic detection system using manned or unmanned aircraft to survey a large area in a short time and narrow the leak location to a minimal search area for boots on ground isolation. The proposed system will utilize an IR sensor for data acquisition, and a custom computer vision based algorithm to detect gas leaks in the massive data stream with minimal human interaction. Specifically, the algorithm takes a combination of preprocessing, motion estimation, and machine learning to differentiate between gas leaks and normal background.

    Publication Date

    4-5-2017

    Project Designation

    Graduate Research - Graduate

    Primary Advisor

    Vijayan K. Asari

    Primary Advisor's Department

    Electrical and Computer Engineering

    Keywords

    Stander Symposium project

    Remote Sensing: Natural Gas Detection with Infrared (IR) Spectrum

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