Public surveillance in Tyumen region
Information Certainty: Documented
Deployment Purpose: Criminal investigations, Surveillance, Crowd management, Traffic Surveillance, Automated Payments
Summary |
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Products and Institutions:
Product Deployed | FindFace Netris CCTV Platform City Edition |
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Institutions ⠉ | Ntech Lab Netris |
Datasets | Unknown Dataset 0019 |
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Status and Events:
Status | Ongoing |
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Events | Start (1 January 2018, Documented, ?, No description) |
Start Date | |
End Date |
Users:
Involved Entities | |
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Managed by | Ntech Lab Netris |
Used by | Government of Tyumen Region |
Location:
City | Tyumen |
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Country ⠉ | Russia |
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. [1]
Po informatsii kompanii, algoritm NtechLab rabotayet na baze programmnogo obespecheniya «Netris» v sisteme videonablyudeniya Tyumenskoy oblasti, k kotoroy podklyucheny videokamery na ob"yektakh gorodskoy infrastruktury, perekrestkakh, v mestakh massovogo skopleniya lyudey. Osnovnym pol'zovatelem videoanalitiki yavlyayetsya MVD oblasti, odnako v dal'neyshem vozmozhno podklyucheniye dopolnitel'nogo funktsionala dlya drugikh vedomstv. Odnim iz vozmozhnykh napravleniy raboty nazyvayetsya ispol'zovaniye raspoznavaniya lits na gorodskom transporte dlya sbora dannykh o passazhiropotoke, nastroyenii i udovletvorennosti passazhirov. Show more
[...] 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. [2]
References
- ^ NtechLabNetrisVnedrili