February 28, 2025Journal of Student ResearchOpen Access

Precision Pipeline Leakage Detection through Deep Learning and Infrared Sensing

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Innovative method improves leak detection accuracy in distribution networks, highlighting deep learning and infrared sensing integration.

Achieving a detection accuracy of 95.41% illustrates the effectiveness of combining deep learning with infrared sensing.
A dataset of 2071 thermal images for leak scenarios and no-leak scenarios supports robust model training and evaluation.
Incorporating a Multi-Layer Perceptron model with traditional sensor methods enhances leak detection capabilities across various settings.
The portable device developed offers a versatile solution for detecting leaks in household, industrial, and agricultural environments.

Sanskriti Kamaraju (2025) studied this question.

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