ISS helps to create a safe and comfortable environment for Krasnoyarsk residents

The operation of the Safe City complex automated system based on SecurOS VMS in conjunction with regional information systems has improved the efficiency of the city’s emergency and operational services

Krasnoyarsk is the largest cultural, educational, economic, and industrial center of East Siberia and the Far East. The population is more than 1 million. Since 2004, the city has been hosting Krasnoyarsk Economic Forum.

Solution composition

  • 800 IP-cameras (with resolution up to 1500) managed by SecurOS Linux Edition
  • 50 SecurOS Computer Vision situational awareness video analytics: loitering detector, objects left behind detector, and intrusion detector
  • 21 SecurOS video servers

Solution task

Providing municipal government and security, defense, and law enforcement agencies with a contemporary high-tech tool designed for improving the quality and speed of detecting emergencies.

 Project description

Actually, the «Safe City» software and hardware complex includes about 800 IP-cameras managed by SecurOS. They are installed on the central streets of Krasnoyarsk, social facilities such as schools, kindergartens, hospitals, residential buildings, including places where offenses are frequently recorded, in crowded areas, such as stadiums, train stations, parks, etc.

One of the main requirements for the software core of the city security system from the customer’s side is the operation of an open-source operating system and a high protection degree of information processed and broadcast within the network of information from threats of damage, loss, and theft. The video surveillance system of the «Safe City» software and hardware complex in Krasnoyarsk is operating based on the SecurOS video management platform managed by Linux software. The system complies with all security and stability principles as required by regulators.

SecurOS Computer Vision situational video analytics helps «Safe City» software and hardware complex operators to record violations of law and order in time and, thus, better control the situation in the city. Four SecurOS Computer Vision detectors are operating within the «Safe City» software and hardware complex:

  • Object Left Behind Detector used in the area of bus and train stations;
  • Intrusion Detector used in public places;
  • Loitering Detector used in state structures facilities;
  • Crowd Detector (monitoring of congestion) used in squares, parks, and gardens, which is particularly important in a complex epidemiological environment.

«Safe City» software and hardware complex simplifies the work of the police by helping to identify and investigate offenses. Within the framework of the project, the integration with the regional geographic information system “GIS-Yenisey” and Automated Police Duty Unit System, the software platform for police operational tasks was realized.

The Automated Police Duty Unit System is designed for the integrated automation of major processes performed by police officers as part of the operational tasks of policing and citizen security. Interactive maps of the city, complemented by camera pictograms, allow for the monitoring of the operational situation, for example, by dispatching emergency response personnel to the scene. The operator can display video from the desired IP-cameras or look through the archive by clicking on the map.

«Safe City» software and hardware complex managed by SecurOS has increased efficiency of emergency and operational services, reduced response time to incidents.

Completed work

As part of the project, ISS specialists conducted a full pre-project survey, developed the required documentation, designed video surveillance and video analytics systems, fulfilled integration with regional information systems.

Project development

The establishment of a video surveillance system in Krasnoyarsk is aimed at improving the security of the citizens and addressing street crime.

The system is constantly being improved. In the next stage, SecurOS Auto license plate recognition based on Linux software is planned; the system is designed for recording vehicles on the main roads, entrances, and exits of the city. The work to establish a single monitoring center to coordinate and improve the quality of city services and departments is in progress.