Difference between revisions of "Facial Recognition in Café "Boulevard""

From Security Vision
Jump to: navigation, search
m (Text replacement - "--- end citebot ---" to "<!--End Citebot--></div>")
 
(2 intermediate revisions by the same user not shown)
Line 3: Line 3:
 
|CiteRef=secuandtechITVIAxxonSoft2012
 
|CiteRef=secuandtechITVIAxxonSoft2012
 
|Deployment Status=Ongoing
 
|Deployment Status=Ongoing
|Deployment Type=Blacklisting, Access Control
+
|Deployment Type=Access Control
 
|Has event={{HasEvent|Start|2012-01-01|Documented|secuandtechITVIAxxonSoft2012}}
 
|Has event={{HasEvent|Start|2012-01-01|Documented|secuandtechITVIAxxonSoft2012}}
 
|City=Petropavlovsk-Kamchatsky
 
|City=Petropavlovsk-Kamchatsky
Line 18: Line 18:
 
[[CiteRef::secuandtechITVIAxxonSoft2012]]
 
[[CiteRef::secuandtechITVIAxxonSoft2012]]
 
</blockquote>
 
</blockquote>
--- By citebot ---
+
<div class="citebot" style="display:none;">
  
 
This page uses the following references:
 
This page uses the following references:
  
 
* [[Cited references::Security_Vision_Wiki_References#_SCITE8957ec6318dbee29610b97c6f19a115a]]
 
* [[Cited references::Security_Vision_Wiki_References#_SCITE8957ec6318dbee29610b97c6f19a115a]]
--- end citebot ---
+
<!--End Citebot--></div>

Latest revision as of 17:28, 20 April 2024

Facial Recognition in Café "Boulevard"
Excluded from graph
Deployment Status Ongoing
Deployment Start Date
Deployment End Date
Events * uses Record type Property:Has event

Start (1 January 2012, Documented, , No description)

City Petropavlovsk-Kamchatsky
Country Russia
Involved Entities VIDEOMAX
Keywords
Technology Deployed Face Intellect
Information Certainty Documented
Primary sources 1
Datasets Used Customers of Café "Boulevard"
Deployment Type Access Control
runs search software
managed by AxxonSoft, ITV
used by Boulevard Café (Petropavlovsk-Kamchatsky)
Potentially used by
Information Certainty 0
Summary 0


Deployment Purpose: Access Control

Summary
0



Location:

CityPetropavlovsk-Kamchatsky
Country Russia
Loading map...


Description[ ]

The implemented system should automatically recognize people entering the café. The system has information about two groups of customers: VIP guests and unwanted guests. Depending on the group, customers would be either banned from entering or a personal member of staff will be allocated.

Система распознавания лиц должна была работать следующим образом: автоматически обнаруживать в видеопотоке, получаемом на входе, изображение лица человека и сравнивать его с образцами из базы. Обнаружив совпадение, выдавать сообщение оператору. В базе данных системы должны были храниться фотографии VIP-клиентов, а также нежелательных клиентов, должников и нарушителей, что позволило бы значительно повысить эффективность работы как администраторов, так и службы безопасности. 1