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CONSUL

CONSUL




system implements a set of safety measures related to the identification of criminals and terrorists.


IDENTIFICATION

Identification






system for law enforcement authorities intended for prompt identification of a person made by way of remote access to a central server from any type of officers work places.


VIDEOSTREAM

VIDEOSTREAM




system is intended for video surveillance in crowded places.


PHOTOSYSTEM







Facial identification of citizens applying for national ID’s and passports to reveal individuals wanted by the authorities.


CHECKPOINT

CHECKPOINT




is a automated information storage and retrieval system for detection of persons using forged passports or visas.


Sova
SOVA

SYSTEM FOR OPERATIONAL VISUAL ANALYSIS FOR LAW INFORCEMENT AGENCIES

DESCRIPTION

SOVA is an automated information storage and retrieval system for facial recognition.

SOVA is designed to create and store a database of those wanted by law enforcement agencies and for the identification of citizens using biographical data, a verbal description and/or a facial image.

The facial image is entered as a search parameter. The result from the system is the automatic extraction of an image list ranked according to the degree of similarity with the input image from the database. The comparison is made using the "one-to-many" principle.

In Kazakhstan and Russia SOVA is used by investigation departments of the Ministry of Internal Affairs for the detention of felons and suspect identification by victims, witnesses or using the result of operational filming, etc.

TECHNICAL CHARACTERISTICS

Table 1.
Probability of identification and Time of search.

Database size Probability
identification in %
Time of search in seconds
1 10,000 images 99.9 0.16
2 100,000 images 99.2 0.28
3 1,000,000 images 96.3 1.1
4 10,000,000 images 87.4 7.08











Table 2.
Time of search using data entry and verbal description

Parameters Values
1 Database size 10,000,000 cards
2 Search time by data entry(i.e. name, DOB, etc.) < 3 seconds
3 Search time using verbal description < 3 seconds







Performance specification

  • Image encodes time:
  • 0.26 seconds
  • Retrieval rate:
  • 1.66 million images per second
  • Percent of automatic encoding:    
  • 99.95%
  • Speed of automatic input:
  • 2 millions images per twenty-four-hours







    The technical characteristics were based on a Pentium IV / 2.8 GHz / 2 Gb RAM processor using MS Windows 2000/XP.

    Demonstration of operation capability[Review 8,25Mb]    [Download 8,61Mb]
    Biometrics Exhibition and Conference 2008

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