MODEL OF OPTICAL SENSOR FOR MONITORING THE LEVEL OF OIL POLLUTION
Ссылка для цитирования : 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.
Аннотация. 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.
Аннотация. 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.
Ключевые слова: computer vision, object detection, image analysis, global optimization, target functions
Благодарность: 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.
Список литературы:
Благодарность: 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.
Список литературы:
- Saleh L.O.A., Khlopin S.V., Chernenkaya L.V., Tarasevskii Ph.G., Tsarev M.M. News of the Tula state university. Technical sciences, 2023, no. 1, pp. 247–256. (in Russ.)
- Suzuki S., Аbe K. Computer Vision, Graphics, and Image Processing, 1985, no. 1(30), pp. 32–46, DOI:10.1016/0734- 189x(85)90016-7.
- Shaban A., Eddaif L., Telegdi J. Advanced Sensor Technology Biomedical, Environmental, and Construction Applications, Elsevier, 2023, pр. 517–563.
- Gout E., Toure Lo F., Monnot M., Boutin O., Vanloot P., Claeys-Bruno M., Moulin Ph. Chemical Engineering Journal, 2023, vol. 472, рр. 144937.
- Belov A.V. Mikrokontrollery AVR: ot azov programmirovaniya do sozdaniya prakticheskikh ustroystv (AVR Microcontrollers: from the Basics of Programming to Creating Practical Devices), St. Petersburg, 2016, 544 р. (in Russ.)
- Khlopin S.V., Saleh L.O.A. Sistemnyy analiz v proyektirovanii i upravlenii (Systems Analysis in Design and Management), Collection of Scientific Papers of the XXV International Scientific and Educational-Practical Conference, St. Petersburg, 2021, рр. 229–235. (in Russ.)
- Sadykov S.S., Terekhin A.V. Caspian Journal: Management and High Technologies, 2014, no. 1(25), pp. 081–092. (in Russ.)
- Maklashov V.A., Piganov M.N. Trudy MAI, 2022, no. 122, pp. 10. (in Russ.) 9. Ushakov V.N., Lebedev P.D., Lavrov N.G. Bulletin of the South Ural State University. Series: Mathematical Modeling and Programming, 2017, no. 3(10), pp. 67–79. (in Russ.)
- Syuy A.V. et al. Journal of Instrument Engineering, 2008, no. 10(51), pp. 65–69. (in Russ.)
- Klochkov Y.V., Nikolaev A.P., Kiselyova T.A. Russian Mathematics, 2017, no. 9, pp. 27–31.
- Chen Y., Florian M. Optimization, 1995, no. 3(32), pp. 193–209.
- Edmunds T.A., Bard J.F. IEEE Transactions on Systems, Man, and Cybernetics, 1991, no. 1(21), pp. 83–89.
- Sinha A., Malo P., Deb K. IEEE Transactions on Evolutionary Computation, 2017, no. 2(22), pp. 276–295.
- Colson B., Marcotte P., Savard G. Annals of Operations Research, 2007, vol. 153, рр. 235–256.
