The XVII International Economic Forum "Russia – Islamic World: KazanForum" was held in Kazan from May 12 to 17, 2026. In 2023, it gained federal status, becoming the main platform for interaction between Russia and the countries of the Islamic world. As part of the forum, representatives of KB "Panorama" visited the international cooperation exhibition and took part in the business program. "KazanForum 2026" was attended by representatives from 103 countries, and the forum's business program included 149 events. At the forum, organized with the support of the Ministry of Construction of Russia and the International Association for Territorial Development, our specialists presented a report on "The Experience of Public-Private Partnership in the Construction of Geoinformation Systems".

International practice demonstrates a transition from spot development to integrated territorial development, implementing the integration of the transport framework, engineering infrastructure, housing, and social facilities into a single environment. The role of digital technologies and geoinformation solutions in urban planning, interdepartmental interaction, construction, and operation of real estate properties is increasing. State information systems have become an integral part of territorial management. The Spatial Data Portal "National System of Spatial Data" integrates layers of sectoral information from various federal and regional information systems. Considering the concentration of data and services on federal resources, the role and place of GIS tools used by cadastral engineers, designers, architects, urban planners, and other specialists from state structures and private organizations are changing.

At the "Business Breakfast for Investors from the Ministry of Construction and Housing and Communal Services of the Russian Federation", employees of KB "Panorama" held a number of bilateral meetings with representatives of Oman, Qatar, Kyrgyzstan, and Russian companies, where they discussed the use of geoinformation technologies in territorial development and specific steps for cooperation. Participation in "KazanForum 2026" helps specialists compare global trends and investment realities regarding the use of spatial data and geoinformation technologies. During a period of significant technological progress and digitalization, the role of personal contacts increases, and "KazanForum 2026" is a platform that allows looking each other in the eye, speaking directly, and discussing projects.

KB "Panorama" expresses its gratitude to Vasil Maratovich Mazitov, Chairman of the Association "MART", for organizing the stay of the KB "Panorama" delegation at "KazanForum 2026".

Photo materials were provided by the event organizers.

Specialists of KB "Panorama" have prepared an educational video material demonstrating a practical approach to creating custom scripts for spatial data processing using artificial intelligence. The video tutorial is dedicated to how to use modern AI tools to accelerate Python development and solve applied problems in the GIS "Panorama" environment, without spending much time on manual code preparation from scratch.

The educational material is based on a real production task: automatic placement of pickets along a pipeline in the object's linear coordinate system. The "Linear Coordinate System" (LCS) is a system for measuring linear coordinates along an object's contour from the first point of the object to a given point. This measurement is performed in meters along the axis, sequentially passing through all contours of the linear object from the first point of the first contour's metric. The LCS is formed relative to calibration points located along the object's contour, with the axis contours possibly adjoining each other or located with gaps. The calibration points provide the transition from plane rectangular coordinates X, Y to the linear coordinate M along the object and back.

The video tutorial analyzes a scenario in which, based on a selected point object and one or more linear objects, new points are formed every kilometer along the LCS, rather than along the geographic length of the line on the map. This example clearly shows how automating script writing helps perform spatial analysis more accurately, faster, and in compliance with specified rules for metric and semantic formation.

Artificial intelligence is becoming a working tool for preparing scripts based on user requests, relying on materials from the open panorama-sdk repository. For GIS specialists, this means a faster transition from problem statement to a ready-made data processing scenario, lowering the entry barrier to programming, and the ability to focus not on technical routine, but on checking analysis logic and interpreting results. This approach can serve as a convenient starting point for mastering Python and the MAPAPI interface when solving spatial data processing problems.

You can view the video material in the "Video Tutorials" section.

Specialists of KB "Panorama" have deployed a centralized Docker Registry container repository. The new infrastructure allows development, testing, and operations teams to work with a single internal repository of Docker images. This makes it possible to accelerate application build, delivery, and deployment processes. The repository contains images of the products: GIS WebServer SE, GIS WebService SE, Imagery Service SE и GIS Server.

Using a private Docker Registry helps solve several problems at once. First of all, it is centralized storage of container images: all current versions of services are now in one secure location and accessible to internal teams. This reduces dependence on external public repositories and increases the stability of development and release processes. In addition, the internal Docker Registry provides version control and transparency of software delivery. Developers can store verified and approved images, use common tags, revert to previous versions, and maintain reproducibility of environments. Another important advantage is security. Placing the Registry inside the corporate perimeter simplifies access control, auditing of image usage, and compliance with internal requirements for storing and distributing software components.

Having a dedicated repository increases the performance and convenience of CI/CD processes. Build and delivery systems get fast access to local images, which reduces publication and deployment time for services. Using a private Docker Registry is a step towards a more manageable, secure, and sustainable container infrastructure for the company, which will accelerate the release of new product versions and increase the reliability of internal services.

Access to the Docker Registry container repository can be obtained via the link.

Geoportal "Bank of spatial data" has been supplemented with a map of Prince Edward Island, formed according to OpenStreetMap data. To work with the map, you can use the GIS Panorama Mini program or other software products of KB "Panorama".

The map was led to the modernised classifier of large-scale plans of scale 1: 5 000 (map5000m). Publishing of updates in bank of spatial data is made by using the program of Databank of digital maps and remote sensing data. Publishing contents of bank of spatial data on the geoportal and data access for downloading are implemented by means of GIS WebServer SE.

Free maps on the basis of OpenStreetMap data are available for download on the page "Digital maps".

Specialists of KB "Panorama" have prepared a video tutorial demonstrating the capabilities of vehicle recognition using the "Automatic image recognition" task within GIS "Panorama". Using remote sensing data as an example, the full cycle of material processing is shown: from selecting the source image to obtaining ready-made vector objects. The service allows for automatically detecting vehicles on satellite images, aerial photographs, and data obtained from unmanned aerial vehicles. Processing is performed using "Panorama Vision", where neural network models carry out analysis, segmentation, and classification of objects.

A key element of the video is the demonstration of the specialized "Vehicles" model. It enables the recognition of various types of objects: cars and trucks, special equipment, aircraft, and marine vessels. The model's algorithms allow for accurately determining the position of objects and correctly separating them even in dense placement conditions - in parking lots, industrial zones, airfields, and port terminals.

The processing results are automatically formed as vector objects linked to a digital classifier, allowing them to be immediately used in geographic information systems for analysis and further work. The user receives not just an image with markings, but structured spatial data suitable for accounting, monitoring, and decision-making.

The technology can be applied in a wide range of tasks: monitoring transport infrastructure and road congestion, analyzing logistics flows, controlling the activities of ports and airfields, assessing equipment usage at industrial and construction sites, as well as solving tasks in the field of security and operational situation control.

The use of "Panorama Vision" within GIS "Panorama" significantly speeds up image processing, reduces the labor intensity of manual vectorization, and improves the accuracy of object detection. As a result, the user receives up-to-date and detailed information about transport activity in the area in the shortest possible time.

You can familiarize yourself with the video material in the "Video tutorials" section.