Application of the MASK K-ST and Slic superpixels algorithms in solving the problems of air counting the number of endangered species of polar bears in their habitat

Buntov Alexander Igorevich

This article is devoted to the problem of counting the number of endangered species of animals in their natural habitat. The paper explores the features of the use of unmanned aerial vehicles (UAVs) with special software written using the MASK R-CNN and Slic superpixels algorithms, as well as the use of open libraries and free software projects such as: Thresholding histograms, OpenCV and FFmpeg in solving counting problems population of the endangered species of Arctic bears. In this study, a set of interchangeable payload modules (photo camera, television camera, infrared camera, thermal imager), ground control station are used as part of the UAV complex. In order to study and solve the problem of counting the number of polar bears in their habitat using UAVs, a scheme for converting the sizes of the object of detection in TV channels in the form of an UAV unit with a matrix converter is proposed. An integral algorithmic development of UAV routing in a proposed computer application is presented.

Keywords:software algorithms, programming, unmanned aerial vehicles, endangered animal species.