Detection of liquid leaks using image recognition in chemical supply and production facilities
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Authors
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Publication date
2020
Typ of student thesis
Bachelor
Course of study
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
Place of publication / Event location
Basel
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F. Hoffmann-La Roche AG, Basel
Abstract
Liquid leaks are rare, but when they occur they can pose a significant security problem, depending on the escaping medium. Additionally, it requires clean-up work and may lead to delays in production or supply. At the moment, such detections are handled by sensors in or on the pipe. However, leaks are not always registered quickly enough by them, especially if the leaking medium happens only in small quantities. The thesis examines the feasibility of a visual detection approach for liquid leaks by evaluating various algorithms from the Computer Vision library OpenCV.
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English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
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Review
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Citation
Bolliger, K. (2020). Detection of liquid leaks using image recognition in chemical supply and production facilities [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/39568