AI-Powered “Dozor M3” Patrol Vehicle Begins Operations in Khanty-Mansiysk
Khanty-Mansiysk has deployed the Dozor M3 AI-powered hardware-and-software complex for traffic enforcement operations. The specially equipped vehicle, marked “Photo and Video Traffic Enforcement,” now patrols routes approved by the traffic police three times a week.
The system automatically scans roadsides, residential courtyards and traffic lanes. If a driver leaves a vehicle under a no-parking sign or on a lawn, the onboard camera records the violation.
Rule-Based Parking Enforcement
The captured image is uploaded to the federal Pautina (Web) system, after which the materials are transferred to the Center for Automated Administrative Enforcement. A penalty notice is then sent to the vehicle owner through the Gosuslugi (State Services) portal. Since entering operation in April of this year, the system has already identified 69 violations.
In 2025, Russia recorded 232 million traffic violations, 9% fewer than the year before. At the same time, 93% of all violations were detected through camera-based monitoring systems, suggesting that digital enforcement tools are delivering measurable results.
Computer vision and mobile video-enforcement systems such as Dozor M3 are increasingly being integrated with federal traffic-monitoring infrastructure and are becoming tools for regulating the road environment itself. When drivers know that traffic compliance is being monitored systematically, they tend to approach vehicle operation more responsibly. That, in turn, affects accident rates. Internationally, crash volumes have fallen between 9% and 35% in jurisdictions using similar technologies.
According to a recent international study, AI-enabled traffic cameras could become one of the most effective tools for reducing road accidents. Broad deployment of “smart” monitoring systems could potentially prevent roughly 1,200 crashes each year.
Smart Patrol Systems Expand
Last year, police vehicles in Surgut and Khanty-Mansiysk, along with pilot deployments in Nizhnevartovsk, were equipped with new neural-network monitoring systems designed to improve road safety. Those systems analyze video streams to identify road-surface defects, including damaged lane markings, snow accumulation and other obstacles.
Following deployments in Yugra, modern Intelligent Transportation Systems (ITS) are expected to expand into additional municipalities. The experience in the Moscow region has become particularly illustrative. Beginning in August 2025, AI systems there identified more than 900 cases of illegal parking, resulting in the towing of more than 500 vehicles. In Bratsk, a similar Dozor-M3 complex is even being tested for urban-maintenance enforcement, including penalties for driving onto lawns and sidewalks. Under the national Data Economy project, Dozor-M3 is also expected to appear in additional Russian regions as part of broader smart-city infrastructure initiatives.
Building Modern Transport Infrastructure
The rollout and development of ITS platforms across Russian regions began in 2020 under the national Safe High-Quality Roads project. Since 2025, those initiatives have continued within the broader national Infrastructure for Life program, while the number of participating regions has continued to grow.
“Over five years, the number of cities participating in the ITS deployment program under the national project has increased from 28 cities in 22 regions to 65 cities in 57 regions. Beginning in 2026, the Republic of Crimea will join the program as ‘smart’ systems start deployment in the Simferopol urban agglomeration. In this way, we are continuing to build modern and efficient transportation infrastructure that supports sustainable urban development and improves quality of life for Russian citizens,” Russian Transport Minister Andrey Nikitin said.
In 2025, the federal government allocated 2.7 billion rubles (about $34 million) for the development of Intelligent Transportation Systems in Russian regions.
Residents of Khanty-Mansiysk can likely expect Dozor-M3 patrol coverage to expand in the future, along with the addition of new categories of violations, including littering from vehicle windows, and deeper integration with the GIS Dorogi Yugry (Roads of Yugra) platform and citizen-feedback services.
