Using unmanned aerial vehicles to identify unauthorized municipal solid waste dump sites

The article is devoted to the issues related to the use of unmanned aerial vehicles for waste management. The purpose of the research is to improve the waste management system by recognizing municipal solid waste in images obtained using unmanned aerial vehicles. The object of the study is waste management. The subject of the research is a methodological apparatus that allows: to determine the required number of unmanned aerial vehicles for remotely obtaining the required number of images of surface areas within a specified period of time and to detect unauthorized dumps sites (accumulations of municipal solid waste) in the obtained images. An analysis of examples of using neural networks and machine learning algorithms for recognizing unauthorized dumps sites in images obtained as a result of remote monitoring of the surface using manned and unmanned aerial vehicles is carried out. An algorithm for determining the minimum number of flights of unmanned aerial vehicles to monitor a surface area is built and the features of using the algorithm are considered. The results obtained in the work can be used in the design of a waste management system that includes remote sensing of the surface using unmanned aerial vehicles.