The I-CUBE Web site is packed with information on our 3 product lines, being IA, LPR and Facial solutions. I-CUBE invites you to explore the site and download the technical documentation, news items, photos, description of sample installations, system simulations and recognition demos.  If  you can not find what you are looking for, PLEASE send I-CUBE an e-mail, SMS, Fax, letter or give us a call (+27 31 764 3077 or + 27 82 562 8225), it would be our pleasure to assist.         
 
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What is FaceIt®
Local Feature Analysis
Accuracy
Accuracy 
Technical Specifications
    

I-Cube Advantage

I-Cube Face Recognition System design and costing 

50 ways to use face recognition

CASINO I-CUBE Face Recognition Solution (PDF - 1.5 MB)

STADIUM I-Cube Face Recognition Solution (PDF 2.3 MB)

MINING I-Cube Face Recognition Solution (PDF 8 MB)

Selling biometrics to the retail sector (By BTT). (PDF 200KB)

 Design for existing cameras & digital recorder, laptop, R99 465.00       ON SPECIAL

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Face Recognition
       Value Proposition 
  

 

                             

Provide all face recognition requirements;

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-System comes with everything required to capture, save, create databases of faces, and compare facial images;
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-Free loading of client database of images;
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-Customized system for distributor;
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-Low cost, differentiate on customer service

 

Face Recognition
          SYSTEM DESCRIPTION
 

Use face recognition to assist in identification.

Manually compare live & saved facial images against a database of saved face images, with an operator reviewing results, making decision.
One is using the face recognition system to check if the person has been seen before, with the operator to check the match. 
Using Face Recognition one can IDENTIFY repeat trouble makers or banned people and take appropriate action
 

Face Recognition
                       Differences

-Internet utilisation to distribute the codes required;
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-PC support is not an issue (Dell laptop);
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-Binning  reduces database size (sex, colour, age);
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-Costing model – Distributors, being close to
                         customer, gets most benefit of sale
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-Linking various vertical markets together via web server to update each site (card counter / pick pocket / problem gambler loaded in CT , immediately distributed to all other members).
Face Recognition
                  Market Entry
Use MBA dissertation to approach the casinos and other vertical markets to promote the purchase of face recognition.
New National Gambling Bill introduces a system of voluntary and court-ordered exclusion of problem gamblers from casinos.  A wide range of exclusion techniques for access control could be applied to South African casinos.  However, there are no clear criteria on which to base the decision of which system is to be implemented.  Various role players to be considered to determine what can be deployable in casino applications.  
Framework, from a business perspective, is proposed which allows multiple role players and varied criteria to effectively evaluate a range of possible solutions.  Framework applied to the role players affected by the proposed exclusion of problem gamblers from gambling.  Main role players evaluated a no. of possible exclusion techniques according to a range of NB criteria.

 

 

 

 

Face Recognition
                  Typical clients

 

Casino client
Typical casino client would have a number of facial databases:
1 – Banned clients (Gamblers Anonymous);
2 – Common criminals (Police Database).
3 – Known card sharks (From other casinos).
 

Shopping Center or large shop, such as Gateway or Game

The security control center or surveillance room would use fixed or dome cameras to watch for in store thefts by either staff or customers. When a gang is identified need to be able to e-mail images of thieves to other shops in the area for them to be on the look out for the gang.
 

 

                Work place environment
Screen prospective employees.
Have pictures of all staff and have a database of staff who have been fired for theft and other misdemeanors.
Allows comparison of prospective employees with images of people they should not employ. 
When a person is caught stealing they let all other similar companies know not to employ that person. 

I-Cube.   All rights reserved.  Revised: January 03, 2008 .

                                   Call +27 (0) 82 562 8225

 

 

 

 

 

 

 

 

 

 

I-Cube.   All rights reserved.  Revised: January 03, 2008 .