There is no doubt that the security industry has started to promote AI and deep
learning solutions extensively, but how big is the demand from end users?
Quite big, according to the industry professionals.
Hartmut Sprave
, CTO, Mobotix,
argues there is a clear end customer
demand for AI solutions.
"Definitely. They want more
and more intelligence in the
cameras. The possibilities we have
in the future are tremendous", he
says.
Malou Mousten Dyhr Toft
from Milestone thinks that end
customers are very important in
driving the demand and in specify-
ing the requirements. She says: "It
is basically through understanding
human behaviour and figuring
out what are the patterns that we
are looking for, so that is driven
primarily by the end users because
this is where the specific require-
ments are being articulated. So,
that makes it so much more easy
for us and the entire community
to work with those needs, to try to
solve these problems."
Increased efficiency
Aaron Chao
, Marketing Director,
International Business Depart-
ment, Uniview, thinks there is an
end customer demand.
"We are beginning to tell AI
stories and introduce new features
to end users, and I believe it is
quite usable and valuable for all
end users. For example, before if
we wanted to check something
we needed to use humans, and
humans are not perfect at reading,
seeing and registering a lot of data,
but now, the machine can do it
for them. That has changed. Not
only the way it is done, but the
efficiency. So, the main purpose of
AI is to bring easier systems with
more efficiency to humans."
Increased productivity
Alistair Enser from Stanley Secu-
rity believes the demand for AI is
increasing but hard to quantify,
however, the amount of intel-
ligence the customers want to be
built into their system is increasing
year on year.
"What we can also see is an
increasing trend from customers to
drive productivity within their own
businesses as well as security needs,
and whether that means reduced
costs, a better use of integrating
systems, or whether it means in-
creased productivity, it all amounts
to the same thing", he says.
Solving problems is crucial
Willem Ryan, Avigilon, says: "We
know AI is going to be practical
to people if it solves real problems;
that is the key. And we know video
searching is one of the main items
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d e t e k t o r i n t e r n a t i o n a l · 1 1
or an immature technology?
End user demands, business intelligence and city surveillance
By Henrik Söderlund
that a security operator does on a
day-to-day basis looking through
video to find the things that they
need to find. So they are really
excited, and the demand is quite
high."
Again, Genetec CEO Pierre
Racz is sceptical and does not
think that end customers and
integrators demand AI solutions.
He says: "As humans we are all ex-
cited about AI because we project
ourselves into the machine. Now,
if customers are subject to sales
people that do not really tell them
about the bad stuff, only the good
stuff, and they put the technology
in situations where the AI works
and the flaws do not show, people
get excited."
different kinds of AI
AI is used for different purposes
in China compared to Europe and
the US. In China, a major share of
video surveillance is used for city
surveillance in big governmental
projects with a huge amount of
cameras. Aaron Chao from Uni-
view says: "If we are talking about
international markets like Western
Europe and the US market, the
biggest business for surveillance is
commercial projects, such as shop-
ping malls, office buildings, hotels
and more. So there are two differ-
ent project types and sizes and they
require different kind of AI."
He stresses that Uniview
develops a lot of unique applica-
tions in China to help the police
with the management of cities and
to control criminals. Overseas, it is
much more about applications for
commercial customers and enhanc-
ing business intelligence.
Machine intelligence
Gary Harmer from Hikvision sees
applications for business intelli-
gence as very important.
"It is playing an ever increas-
ing part in the decision making
processes in terms of what to invest
in, what technology to invest in,
and if they can use sensor devices
connected to the IoT it does
not have to be cameras then
they can drive intelligence from
the collection of data. It is like
human intelligence, we collect
data from our five senses, and then
we process that information and
make a decision. So now we have
machines providing us with the
data, collecting the data, analysing
the data and making the decisions
for us, so it is machine intelligence,
which is another word for artificial
intelligence", he says.
artificial
intelligence
In China, a major share of video surveillance is used for city surveillance.
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