Model of optical sensor for monitoring the level of oil pollution

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.