Intelligent Assessment of the Visual Ecology of the Urban Environment
Danish Ather, Nikolay Rashevskiy, Данила Парыгин, Alexander Gurtyakov, Svetlana Katerinina
Abstract
The article is devoted to the study of the visual ecology of the urban environment. The main factors of visual pollution are analyzed and a classification of sources of visual pollution is made. A three-stage approach to the intellectual assessment of the state of the visual ecology of the urban environment is proposed. The technology for collecting, preparing and analyzing data for calculating the integral level of area visual ecology using machine learning and geo information methods is described. The developed approach was tested on two cases: survey of visual pollution of vertical surfaces (walls, fences) for the presence of unauthorized graffiti; control over the filling of garbage containers and waste collection sites. Software solutions for monitoring urban infrastructure for violations of the normal state and notification of city services with visualization of information on a city map are described in the paper.