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Model of optical sensor for monitoring the level of oil pollution
https://doi.org/10.17586/0021-3454-2025-68-3-267-274
Abstract
The object of the study is the analysis of photo and video images obtained using a special optical sensor to determine the presence of petroleum products in liquids. The following research methods were used: machine (computer) vision, object detection, color correction, contour search, and digital image processing. The Java 8 programming language and the Java Swing, OpenCV 3.4.10, Processing frameworks were used in the development of the software package.
Supporting agencies: The study was supported by grant No. 24-21-20116 from the Russian Science Foundation (https://rscf.ru/project/24-21-20116/) and grant No. 24-21-20116 from the St. Petersburg Science Foundation.
About the Authors
G. T. Pipiya
Peter the Great St. Petersburg Polytechnic University
Russian Federation
Russian Federation
Georgy T. Pipiya — PhD, Higher School of Computer Technologies and Information Systems; Engineer-Researcher
St. Petersburg
S. V. Khlopin
Peter the Great St. Petersburg Polytechnic University
Russian Federation
Russian Federation
Sergey V. Khlopin — PhD, Associate Professor, Higher School of Computer Technologies and Information Systems
St. Petersburg
L. V. Chernenkaya
Peter the Great St. Petersburg Polytechnic University
Russian Federation
Russian Federation
Ludmila V. Chernenkaya — Dr. Sci., Professor; Higher School of Computer Technologies and Information Systems
St. Petersburg
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Review
For citations:
Pipiya G.T., Khlopin S.V., Chernenkaya L.V. Model of optical sensor for monitoring the level of oil pollution. Journal of Instrument Engineering. 2025;68(3):267-274. (In Russ.) https://doi.org/10.17586/0021-3454-2025-68-3-267-274
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