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Smile, you're on camera! Shops, public spaces, critical locations
cameras are everywhere, and the whole collection of their images...
are, as of now, digital. Even though three quarters of these streams...
will never be watched, they nevertheless contain highly valuable...
data that is now possible to analyze thanks to IT.
"Algorithms for video recognition, computer vision algorithms
are continuously being improved, whether they be facial recognition algorithms,
for example, which were improved by a 100 factor
during the last 15 years, or algorithms which can detect
all kinds of behavior,
whether it be counting people, recognition of license plates,
counting vehicles, traffic management,
management of entries and exits... all kinds of things, accidents,
dangerous situations, peculiar behaviors. And so, video analysis allows us...
to apply certain analytics automations
to a BIG DATA problem, which is receiving a huge stream of video
that operators can't handle. It is a little like trying...
to fill a glass of water at Niagara Falls.
So from a technology perspective, the computer-vision algorithms...
are prepared by specialized companies, who work specifically...
in the development of these algorithms, which have improved greatly...
in terms of accuracy and speed, so that you can use...
data centers that are not huge, that can manage,
for example, per server, up to 16 video streams for online analysis."
Reinforce the security of a community, optimize points of sale
or even manage an airport,
are some of the many possibilities of video analytics.
"So, four main application areas
from our point of view: the first is called Intelligent Cities,
so municipalities that would like to
be more responsive to their citizens and to what is going on in the city,
in order to detect any problems or opportunities early on
and to react more quickly.
The second area is retail, shopping centers, customer service centers, agencies.
Whether they be banking, insurance, telecommunications companies, etc.
Also government agencies. Everything that is a reception space for clients.
So the third area is transportation.
Whether airports, train stations,
public transportation.
The fourth area is a more specialized field of safety,
such as applications for police, for border controls
or management of critical infrastructure.
So an example in the marketing field...
is the demographic recognition of the customer, man/woman
age group, possibly even ethnicity. This allows us to know...
what the typical behaviors are. For example, in a shop.
To see that if men turn left and women turn...
more to the right when entering the store, let's put razors...
and shaving cream, etc., on the left side.