8 · d e t e k t o r i n t e r n a t i o n a l
Will AI video analytics add `Real
Intelligence' to video surveillance?
voice of the
security technology industry
Video analytics has eaten a few free lunches over the last 15 years. Whilst it
has certainly added some value to video installations, there has been much
debate about exactly `how intelligent' the technology really is and whether
it provides satisfactory ROI.
But in 2018, there is now a growing belief that video analytics could
finally move beyond what has been achieved through conventional rule
based systems.
Our new report The Global Market for AI Video Analytics 2018 to
2023 identifies a number of reasons why we think video analytics is about
to cross the Rubicon. The first is that major advances in semiconductor
architecture are now enabling much faster processing, empowering deep
learning and machine learning algorithms to analyse data many times faster
than was previously possible.
GPU chip manufacturers like Nvidia have found that these semicon-
ductor architectures can deliver much better performance for AI chip
applications. This initiative has come from relatively smaller manufacturers
that are now developing AI chips and analytic software products. Indeed
the venture capital industry are now busy pouring billions of dollars into
financing these companies. While researching this report, we identified 128
companies across the world that are now in some way helping (hardware &
software) to deliver AI video analytic solutions.
There is still much to be done in perfecting the technology and getting
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it to market, but new tools and processes have opened up the opportunity
to bring AI products to the video analytics market, potentially revolutionis-
ing its performance and capability.
In 2018, there is now a strong belief that video analytics is moving well
beyond what can be achieved through conventional rule based systems.
New AI platforms have the capacity and capability to deliver video surveil-
lance solutions that are intelligent. This will further drive demand for AI
video analytics not just for new projects but open up a vast latent potential
for retrofitting millions of existing video surveillance installations.
The practical aspects of getting AI solutions to market will be chal-
lenging and it will require more than a little tinkering with the established
routes of distribution and installation.
Video surveillance systems generate vast amounts of useful data but
sadly most it is not being utilized. So there is huge potential to maximize
the value of this data by converting it from "dumb to actionable". The
material is already out there just waiting to be mined.
The enterprise sector, across a number of the most important vertical
markets for the video surveillance business is now making its first invest-
ments in AI video analytics solutions. The point of inflexion on the growth
curve could be reached within the next 18 months. There are challenges
that need to be overcome on both the supply and demand side but the
potential rewards are massive for both.
New chip architectures combined with intelligent video analytics soft-
ware when put to work on the gargantuan volumes of data should improve
the security, safety and performance of people, buildings and the business
enterprise and at the same time provide a major boost to the video surveil-
lance ecosystem.
How useful is AI video analytics does it add Real
Intelligence to video surveillance? That is the question,
James McHale, Managing Director of the consultancy
company Memoori, reflects on the subject in this article.
James McHale, Managing Director of the consultancy company Memoori.
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12.07.18 15:49
"The practical aspects of getting AI solu-
tions to market will be challenging and it
will require more than a little tinkering with
the established routes of distribution and
installation."
"...new tools and processes have opened up
the opportunity to bring AI products to the
video analytics market, potentially revolu-
tionising its performance and capability."
Det INT 3_18.indd 8
2018-08-30 14:15