An intelligent VMS (Video Management System) with built-in video analytics and interactive features is an advanced monitoring platform that not only collects and displays footage from cameras, but also automatically analyzes video in real time (e.g., detecting events, objects, and behaviors) and enables either the system or the operator to respond to detected situations. This enhances automation, improves the effectiveness of surveillance, and speeds up decision-making.

Video analytics for cities is a set of AI-based tools that automatically process footage from municipal cameras to detect and interpret events in public areas. It includes capabilities such as motion detection, object recognition (vehicles, pedestrians), traffic flow analysis, detection of road incidents, unsafe behaviors, abandoned objects, and traffic violations.

Thanks to AI algorithms, the system operates in real time, generating alerts and providing operators with actionable information. This significantly speeds up the response of city services, enhances public safety, and supports the management of transportation and infrastructure.

Neural networks play a key role in video analytics for cities because they enable automatic and highly precise pattern recognition in video streams. In practice, this means the system “learns” from large datasets and can independently identify different types of objects (e.g., cars, bicycles, pedestrians), recognize unusual behaviors, and detect events that require a response.

In urban monitoring, neural networks support tasks such as:

Traffic analysis – counting vehicles, determining traffic directions, detecting congestion.
Public safety – detecting fights, falls, aggressive behavior, or abandoned items.
Infrastructure management – identifying parking occupancy, monitoring pedestrian crossings, tracking bicycle traffic.

Thanks to deep learning, these systems are more accurate, adaptable, and better at handling challenging conditions such as changing lighting or crowded scenes, significantly improving the effectiveness of urban monitoring and management.

A coherent policy for using video resources makes it possible to view the city from a broader perspective. The protection of individual facilities is no longer isolated but becomes part of a unified whole, increasing overall effectiveness and enabling valuable two-way information flow. From rapid responses to incidents to advanced models of tourist, passenger, or vehicle movement, cameras belonging to subsystems such as museums, schools, kindergartens, police or fire stations, and public offices together form an extensive safety ecosystem.

Intelligently integrating other systems—such as ITS, automation controls, and lighting—further enhances their efficiency.
We connect video analytics with various types of controllers, enabling them to trigger actions in specific cases and predefined scenarios.

Advanced AI-based systems can detect the presence of people in hazardous zones, identify missing protective equipment such as helmets, vests, or goggles, and issue warnings when someone approaches active machines or robotic workstations.

By analyzing behavior and body posture, video analytics identifies potentially dangerous situations—such as running, falls, crowding, or a sudden lack of movement—enabling immediate intervention and accident prevention. The technology also supports access control, ensuring that only authorized individuals enter restricted areas, and continuously monitors ongoing operations, detecting process anomalies, unsafe interactions, or improper equipment use.

Through proactive detection and data analysis, video analytics systems help organizations create safer workplaces, reduce human error, and maintain compliance with stringent industrial safety standards—protecting employees while increasing operational reliability.

The video management system is designed to protect residents, property, and elements of small urban architecture such as playgrounds. With advanced video analytics supported by neural networks, it accurately detects the emergence of graffiti, illegal street racing, unlawful waste dumping, intrusions onto private property or balconies, and the destruction of small architectural elements or greenery. Additionally, to ensure proper event recording and evidence collection, the cameras operate in a mode that maximizes image quality and reliably captures all incidents.