In the aim of increasing the effectiveness of the response capabilities of the CIAD (Central internal affairs directorate - head office of regional or city police) of Chelyabinsk Region as well as with the goal of recording video information from main points and critical facilities in Chelyabinsk, AxxonSoft was chosen through a tender organized under the SafeCity project. This is a scalable securi...
In the aim of increasing the effectiveness of the response capabilities of the CIAD (Central internal affairs directorate - head office of regional or city police) of Chelyabinsk Region as well as with the goal of recording video information from main points and critical facilities in Chelyabinsk, AxxonSoft was chosen through a tender organized under the SafeCity project. This is a scalable security ANPR system that incorporates license plate recognition capabilities and various detectors into a powerful complex and provides even more functionality by using network functions of the core Intellect security complex.
The client of the SafeCity project in Chelyabinsk is the CIAD of the Russian Federation for the Ural Federal Region. It is the district sub-department of the Ministry of Internal Affairs of the Russian Federation, responsible for internal affairs agencies in the fight with crime in the Ural Federal Region. CIAD liaisons with the Authorized Representative of the President of the Russian Federation in the Ural Federal Region. "The operations of the SafeCity will be accomplished by a specially created sub-department under the IAD (internal affairs directorate - a local office of regional or city police) of Chelyabinsk ," informed Valentin Tsatsin, head of the Department of Communications and Automation of the CIAD in Chelyabinsk oblast.
The realization of the SafeCity project was performed under the oblast's comprehensive program for preventing crime and strengthening the fight with criminals in Chelyabinsk oblast for the years 2006-2008. For this, in 2006 a tender for the creation of the pilot SafeCity project was held in Chelyabinsk. During the first stage, four parts of the city were to be equipped with video surveillance equipment. In one of the city areas, the system was supposed to take over all functions of video surveillance, identification and recognition of license plate numbers at one of the main intersections of the city. This was one of the main system requirements on the part of the STSI (state traffic safety inspectorate - traffic police) of Chelyabinsk.
"The SafeCity project was intended for creating a system of remote centralized video surveillance over the situation on all streets in the city. The aim of its creation is to increase the effectiveness of the response capabilities of the Chelyabinsk police, as well as the opportunity to register for later use the video information from main points and critical facilities in the city," informed Valentin Tsatsin, head of the Department of Communications and Automation of the Ministry of Internal Affairs in Chelyabinsk oblast.
Depending on the specifics of the areas under video surveillance, the client put forward various requirements for the system. If the area was designated for public safety objectives as articulated by the police, then the AxxonSoft solution had to meet the following system requirements for video surveillance, including gathering of high quality video images sufficient for further analysis and processing by various detectors and modules, abandoned objects tracking ,facial recognition and recognition of situations where someone is running away or displays unconventional behavior.
For traffic areas designated under the objectives of the STSI, the client put forward the system requirements for video surveillance which included high quality video images sufficient for further analysis and processing by various detectors and modules, Identification of violations of road regulations by automobiles, documenting long-term stops of automobiles at intersections, recognition and identification of license plate numbers, storage and archiving of recognized numbers database, identification of red light drive-throughs and comparison of recognized license plate numbers with databases of automobiles being searched for.