Computer vision
Deep learning artificial intelligence technologies used for feature extraction from
remote sensing data.

Purposes
1
Feature extraction from remote sensing data.
Features
  • Recognition of buildings out of remote sensing data using pre-trained convolutional neural networks (CNN);
  • CNN's are trained to deal with high-precision data (accuracy about 10-15 cm);
  • Variety of input data formats;
  • Our pre-trained CNN is able to deal with imagery data.




Other solutions

Accounting for correspondence and documents of all types, their relationships, managing the processes of document flow.

Automation of the process of preparation and approval of the urban planning plan of the land plot.

The system is designed for operational monitoring and management decisions in crisis situations and incidents.

Automation of the process of preparation and issuance of permits for earthworks provides monitoring of the current state of open earthworks.

Accounting for economic activities on the territory of forests and parks

Traffic simulation using a flexible digital model.

Publishing a wide range of data on the state of the territory on the Internet as well as facilitate interaction between the Government and citizens and companies.

Monitoring the progress of judicial processes in relation to real estate objects

GradINFO is a set of interconnected software modules applicable in various areas of the territorial administration