Subsystem for automatic recording of video information indexing scenarios (PARSIV)

GIS ECXD (Moscow Unified Data Centre)

Main article: GIS ECXD (Unified Data Storage and Processing Center of Moscow)

How the city's video surveillance and facial recognition system is arranged in Moscow

Main article: How the city video surveillance and facial recognition system is arranged in Moscow

2021: Moscow will spend 130 million rubles so that city video cameras can find accomplices of criminals

September 2, 2021 it became known about the upcoming update of the subsystem for automatic recording of video information indexing scenarios (PARSIV). The Moscow Department of Information Technology announced a tender for 130 million rubles, within the framework of which it is planned to create technology that allows city video cameras to calculate the routes of movement of criminals and their alleged accomplices.

According to Kommersant, citing materials from the relevant public procurement, the neural network in conjunction with the Moscow video surveillance system will have to look not only for suspects, but also for their accomplices, be able to identify people by extended filters (by sex, age, race, glasses, beards, masks, headgear), recognize silhouettes, track suspects and build their routes. In addition, the system will be able to identify people who often come to the scene of crimes.

Moscow invests 130 million rubles so that city video cameras can find accomplices of criminals

The DIT press service told the publication that PARSIV will have new tools that will allow even more effectively ensuring the safety of citizens, and the security of the subsystem itself will also be increased.

The tender involves the creation of mobile applications for iOS and Android, with the help of which security officials will be able to connect to the face recognition system from tablets and smartphones.

Krok security expert Artem Romanov told the publication that the new technologies will make it possible in a matter of minutes to find out where a particular person visited during the day, or who visited a specific place, for example, during the week. Previously, this was done by an operator who viewed the video in manual mode, which took a lot of time.

Experts interviewed by the publication expressed concern that data on random passers-by could get into the database, which, given the possibility of leaks, poses a threat to their safety.

The presence of a centralized database with a large amount of data on citizens makes it a convenient target for attackers, "warned Vladimir Ozherelyev, senior lawyer at Digital Rights Center.[1]

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