MODEL OF OPTICAL SENSOR FOR MONITORING THE LEVEL OF OIL POLLUTION
Reference for citation: Pipiay G. T., Khlopin S. V., Chernenkaya L. V. Model of optical sensor for monitoring the level of oil pollution. Journal of Instrument Engineering. 2025. Vol. 68, N 3. P. 267–274 (in Russian). DOI: 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.
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.
Keywords: computer vision, object detection, image analysis, global optimization, target functions
Acknowledgement: 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.
References:
Acknowledgement: 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.
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