Page 27 - Intellio Catalog 2015
P. 27
INTELLIO MODULES

VISISCANNER CUSTOMER ANALYTICS SOLUTION

DETECTION OF THE GENDER AND AGE OF THE CUSTOMERS (SERVER-SIDE DETECTOR)

Male age: 19-34 Male age: 35-56

Male age: 19-34 Male age: 19-34

Female age: 19-34

Male age: 8-18 Female age: 19-34
Female age: 19-34
Male age: 19-34

Male age: 35-56 Male age: 19-34 Male age: 19-34 Female age: 35-56

200 Female Male 41 200 Entrance 1 Entrance 2 24
150 31 150 48
100 81 100 42 55
61 59 33 69
50 31 54 77 65 50 14 82 116
24 41

The system make statistics for recognized persons by
various features

Relying on its gender and age recognition software, VisiScanner analyzes live video to detect the age and gender of those passing in the camera’s field of
view. The system counts the visitors and tracks their path of movement.

The solution could be a useful tool for any business that could benefit from gaining demographic data about its customers or visitors. In public locations
VisiScanner will help create precise customer or visitor statistics efficiently supporting market research activities. The data generated can be easily
processed to gain valuable insight into visitor count and composition. VisiScanner helps explore low and high traffic periods and compare these to
shed light on visitor trends. As a result, it can be measured how successful a promotion or advertisement has been in certain periods and geographical
locations across various business units.

FACE ANALYTICS BASED DETECTORS STATISTICS

DETECTION OF GENDER The VisiScanner gender and age recognition software makes statistics on the store
visitors. The data can be downloaded via any common web browser, on mobile
Age group Expected Accuracy devices, even. The data can be used to make statistics broken down by certain
periods, visitor numbers and composition, age and gender. Traffic data from several
1–7 50 % periods can be compared, making it possible to compare the business results of
various business units of a commercial chain.
8 – 18 79 %
TÜV tested and certified product
19 – 34 94 %

35 – 56 92 %

57 – 100 84 %

DETECTION OF AGE

Age group Expected Accuracy

1–7 87 %

8 – 18 61 %

19 – 34 79 %

35 – 56 80 %

57 – 100 68 %

Statistics IVS-DATA SQL server
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