Difference between revisions of "FIFA 2018 World Cup Facial Recognition (Moscow)"
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{{Deployments | {{Deployments | ||
|Information Certainty=Documented | |Information Certainty=Documented | ||
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|Deployment Status=Concluded | |Deployment Status=Concluded | ||
|Deployment Type=Criminal investigations, Crowd management, Surveillance | |Deployment Type=Criminal investigations, Crowd management, Surveillance | ||
− | |Has event={{HasEvent|Start|2018-06-14|Documented| | + | |Has event={{HasEvent|Start|2018-06-14|Documented|ntechlabFacialRecognitionMulti2022|The beginning of the FIFA 2018 World Cup}}{{HasEvent|End|2018-07-15|Documented|ntechlabFacialRecognitionMulti2022|The end of the FIFA 2018 World Cup}} |
|City=Moscow | |City=Moscow | ||
|Country=Russia | |Country=Russia | ||
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NtechLab also made it possible to conduct a detailed analysis of game attendance. The attendance estimate was 99.4% accurate, while the data contained valuable additional information on the fans’ gender, age, and mood. | NtechLab also made it possible to conduct a detailed analysis of game attendance. The attendance estimate was 99.4% accurate, while the data contained valuable additional information on the fans’ gender, age, and mood. | ||
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Latest revision as of 17:25, 20 April 2024
Information Certainty: Documented
Deployment Purpose: Criminal investigations, Surveillance, Crowd management
Summary |
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0 |
Products and Institutions:
Product Deployed | FindFace |
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Institutions ⠉ | Ntech Lab |
Datasets | Unknown Dataset 0020 |
Search software |
Status and Events:
Status | Concluded |
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Events | Start (14 June 2018, Documented, , The beginning of the FIFA 2018 World Cup) End (15 July 2018, Documented, , The end of the FIFA 2018 World Cup) |
Start Date | |
End Date |
Users:
Involved Entities | |
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Managed by | Ntech Lab |
Used by | Government of Moscow |
Location:
City | Moscow |
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Country ⠉ | Russia |
Description[ ]
Around 500 cameras of city surveillance, subway, sports arenas, fan zones and mobile biometric suites were connected to a centralized facial recognition system during the 2018 World Cup games in various regions around Russia. Recognition of a captured facial image took less than 2 seconds. [...] NtechLab also made it possible to conduct a detailed analysis of game attendance. The attendance estimate was 99.4% accurate, while the data contained valuable additional information on the fans’ gender, age, and mood. 1