MODEL OF OPTICAL SENSOR FOR MONITORING THE LEVEL OF OIL POLLUTION
Annotation
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.
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