Difference between revisions of "Unknown Dataset 0019"
From Security Vision
(Created page with "{{Dataset |has full name=Unknown Dataset 0019 |Certainty=Documented |Country=Russia |is dataset category=Civil Database, Law Enforcement |Developed by=Netris, Ntech Lab |Has e...") |
m (Text replacement - "--- end citebot ---" to "<!--End Citebot--></div>") |
||
| (5 intermediate revisions by 3 users not shown) | |||
| Line 3: | Line 3: | ||
|Certainty=Documented | |Certainty=Documented | ||
|Country=Russia | |Country=Russia | ||
| − | |is dataset category= | + | |is dataset category=Civilian Registry, Law Enforcement |
|Developed by=Netris, Ntech Lab | |Developed by=Netris, Ntech Lab | ||
| − | |Has event={{HasEvent|Start|2018-01-01|Documented| | + | |Has event={{HasEvent|Start|2018-01-01|Documented|tadviserNtechLabNetrisVnedrili2022}} |
|Dataset Category=Facial Images | |Dataset Category=Facial Images | ||
|Owning institution=Government of Tyumen Region | |Owning institution=Government of Tyumen Region | ||
}} | }} | ||
==Description== | ==Description== | ||
| − | |||
<blockquote> | <blockquote> | ||
The integration of the FindFace algorithm with urban video surveillance systems makes it possible to recognize faces in the video stream in real time with high accuracy, regardless of the number of people in front of the camera. Recognition results can be compared with law enforcement databases, and if a match is found, law enforcement officers will instantly receive an alert. The whole process from the actual appearance of a person in front of the camera to the receipt of a signal will take no more than two seconds. | The integration of the FindFace algorithm with urban video surveillance systems makes it possible to recognize faces in the video stream in real time with high accuracy, regardless of the number of people in front of the camera. Recognition results can be compared with law enforcement databases, and if a match is found, law enforcement officers will instantly receive an alert. The whole process from the actual appearance of a person in front of the camera to the receipt of a signal will take no more than two seconds. | ||
| − | + | [[CiteRef::tadviserNtechLabNetrisVnedrili2022]] | |
</blockquote> | </blockquote> | ||
| + | <div class="citebot" style="display:none;"> | ||
| + | |||
| + | This page uses the following references: | ||
| + | |||
| + | * [[Cited references::Security_Vision_Wiki_References#_SCITE748a2d1675323d7f1b4062644951ada1]] | ||
| + | <!--End Citebot--></div> | ||
Latest revision as of 17:58, 20 April 2024
Information Certainty: Documented
Type: Law Enforcement, Civilian Registry
Technical information:
| Full name | Unknown Dataset 0019 |
|---|---|
| Country | Russia |
| Contents | Facial Images |
| Images | |
| Individuals | |
| Runs database software | |
| URL"URL" is a type and predefined property provided by Semantic MediaWiki to represent URI/URL values. | |
| Related Technology |
Developers and Users:
| Developed by | Ntech Lab Netris |
|---|---|
| Owning institution | Government of Tyumen Region |
| Custodian institution |
Description[edit | ]
The integration of the FindFace algorithm with urban video surveillance systems makes it possible to recognize faces in the video stream in real time with high accuracy, regardless of the number of people in front of the camera. Recognition results can be compared with law enforcement databases, and if a match is found, law enforcement officers will instantly receive an alert. The whole process from the actual appearance of a person in front of the camera to the receipt of a signal will take no more than two seconds. 1
References
- ^ "NtechLab и «Нетрис» внедрили систему распознавание лиц в Тюмени". (2022) <https://www.tadviser.ru/index.php/%D0%9F%D1%80%D0%BE%D0%B5%D0%BA%D1%82:%D0%94%D0%B5%D0%BF%D0%B0%D1%80%D1%82%D0%B0%D0%BC%D0%B5%D0%BD%D1%82_%D0%B8%D0%BD%D1%84%D0%BE%D1%80%D0%BC%D0%B0%D1%82%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D0%B8_%D0%A2%D1%8E%D0%BC%D0%B5%D0%BD%D1%81%D0%BA%D0%BE%D0%B9_%D0%BE%D0%B1%D0%BB%D0%B0%D1%81%D1%82%D0%B8_(Netris_CCTV_Platform_City_Edition)> Accessed: 2022-06-03