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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
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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
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