Public surveillance in Tyumen region

Public surveillance in Tyumen region
Excluded from graph
Deployment Status	Ongoing
Deployment Start Date
Deployment End Date
Events	* uses Record type Property:Has event Start (1 January 2018, Documented, ?, No description)
City	Tyumen
Country	Russia
Involved Entities
Keywords
Technology Deployed	FindFace, Netris CCTV Platform City Edition
Information Certainty	Documented
Primary sources	1
Datasets Used	Unknown Dataset 0019
Deployment Type	Automated Payments, Criminal investigations, Crowd management, Surveillance, Traffic Surveillance
runs search software
managed by	Netris, Ntech Lab
used by	Government of Tyumen Region
Potentially used by
Information Certainty	0
Summary	0

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Information Certainty: Documented

Deployment Purpose: Criminal investigations, Surveillance, Crowd management, Traffic Surveillance, Automated Payments

Summary
0

• Details

Products and Institutions:

Product Deployed	FindFace Netris CCTV Platform City Edition
Institutions ⠉	Ntech Lab Netris
Datasets	Unknown Dataset 0019
Search software

Status and Events:

Status	Ongoing
Events	Start (1 January 2018, Documented, ?, No description)
Start Date
End Date

Users:

Involved Entities
Managed by	Ntech Lab Netris
Used by	Government of Tyumen Region

Location:

City	Tyumen
Country ⠉	Russia

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Description

The Netris video surveillance platforms with NtechLab analytics are expected to develop significantly in 2020 — 2022 in cities with populations of 100 thousand or more. Tyumen Region’s video surveillance platform is the most geographically distributed video surveillance system in the Russian Federation. It includes cameras in different cities and towns of the entire Tyumen Region. 2

[...] the NtechLab algorithm works on the basis of the Netris software in the video surveillance system of the Tyumen region, to which video cameras are connected at urban infrastructure facilities, intersections, and in crowded places. The main user of video analytics is the Ministry of Internal Affairs of the region, but in the future it is possible to connect additional functionality for other departments. One possible area of ​​work is the use of facial recognition in urban transport to collect data on passenger traffic, mood and passenger satisfaction. 1

This page uses the following references:

• Security_Vision_Wiki_References#_SCITE748a2d1675323d7f1b4062644951ada1