Automobilization of Kazan to be assessed using the CloudMTS cloud

MTS, a digital ecosystem, reports on the application of CloudMTS cloud solutions in the implementation of the Kazan integrated geographic information system project by the Gems Development IT company. The use of Computer cloud GPU for machine learning allowed a large developer of systems for supporting urban planning activities to save money on the construction of its own computing infrastructure and begin implementing the project as soon as possible.

Gems Development company develops and supports state information systems for supporting urban planning activities and management systems for territorial development based on own GeoMeta platform.. To develop the Urban Analytics module of a comprehensive municipal geographic information system in Kazan, it was necessary to analyze the distribution of cars throughout the city and their places of accumulation. This information can be used for a variety of purposes, ranging from planning the placement of parking spaces to assessing the actual level of Automobilization. In addition, the system can identify areas with illegal parking on lawns.

The tool developed by Gems Development is based on vehicle recognition using machine vision. To train and operate the neural network, the IT company used computer cloud based on graphics accelerators in the CloudMTS virtual infrastructure.