Multi-Modal Imaging System for Real-Time Liquid Leak Detection

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The oil and gas pipeline integrity management program (IMP) is to ensure the safe operation of the energy transportation infrastructure. The early detection of a small leak from above-ground facilities is a key element of the IMP and paramount for environmental safety and protection. The challenges come from the complicated situations of liquid leaks in a dynamic environment. An intelligent leak detection system, which is capable of detecting those leaks accurately and timely, is expected to address this issue. This research aims to develop computational algorithms, which can enhance the machine vision based leak detection with higher accuracy and lower false alarm rate. This intelligent vision system, which is comprised of visible and infrared imaging, will employ the advanced deep learning techniques and industry-level hardware to enable continuous and reliable monitoring of the pipeline infrastructure. Continuous monitoring allows detecting leaks quicker, reducing the environmental impacts from leaks and improve pipeline performance in high-risk areas. Thus, this research will contribute to the healthy growth of Canada's energy sector that provides countless economic benefits to Canadians across the country.