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Technology of abstract thinking in
intelligent technical vision
(development of intelligent core of
vision system)
01
Evgeny
Yarichin
My name is Evgeny Mikhailovich Yarichin. I have a long experience in managingholding consisting of three small innovative enterprises. At present I work at theacademic institute.
We are engaged in the development of a technology for the market of embeddedintelligent vision systems. Our goods ensure complete (semantic) vision control overobjects and space environment in industrial, transport, biomedical and everydayapplications.
We do this better than our competitors, since in-depth investigations into the natureof video-information has allowed us for the first time to develop a well-defined intelligenttechnology of artificial vision.
Our business-model is the use of the development for business organization.At present we are at a stage of the patent protection of the technology.We are in search of $2.100.000 investments for foreign and Russian patenting,
prototype development and small-scale and medium-batch production of intelligentcores of vision systems
This amount will allow us to sell our goods.Our exit strategy: sales and rental fee, entrance to IPO
Would you like to learn more?
02Elevator-Pitch
03
Video-information Video-information estimation
Physical space-timeVirtual space-time of a
vision system
Problem
Observed object Abstract object image
Weak video-information field
Ascending and descending
hierarchy of video-information
processing
Intelligent core of a vision
system
?
Direct and reverse problems of a vision
system
Near-axial physical space-
time
Problem solution
The technology is defined as a system of procedures for
hierarchical video-information processing.
04
The structure of an intelligent core of the vision system is like
that of neocortex (brain cortex) that is there are six hierarchy
levels connected by ascending and descending video-
information processing.
The technology is based on the modern paradigm of
information and modern (post-Shannon’s) information
approach that were developed by us and allowed us to define
the main laws and mechanisms to form, weaken and restore
video-information.
05Demand
The technology developed
permits transition of technical
(machine, computer) vision to
a new and higher (intelligent)level.
Development of intelligent vision systems with
earlier impossible ability of video –information
perception and understanding will result in
expansion of demand.
Market06
The size of the world market of
technical (machine) vision in
2014 is expected to be $15,2
bln with an annual growth ratio
of 9% and will increase to $23,5
bln in 2019 .
Intelligence of technical vision gives rise to new
(impossible earlier) and develops conventional
applications, which will increase the growth rate and
capacity of the world market of technical (machine)
vision.
Competitive position
It is the only technology based on a well-defined
approach instead of heuristics that ensures a meaningful
and a task-oriented process of intelligent core
construction for any vision system.
Unlike neurobiological inefficient attempts to construct intellect based on
copying anatomical neocortex organization, we have developed and make
the best use of a modern (post-Shannon’s) information approach. This
approach applied to a vision system generates a hierarchy mechanism of
its intelligent core that takes the organization like that of neocortex.
Unlike a technology of algorithmic vision that doesn’t consider information
nature of vision and possesses limited capacities due to intuitive nature
and a host of ambiguities , our technology is a technology of a depth
video-information processing where everything is evident and restrictions
are removed.
07
Team
Yarichin Evgeny Mikhailovich – the key
researcher-developer
Gruznov Vladinir Matveevich – researcher -
organizer
Yarichin Alexander Evgenievich –
manager, marketing consultant, business
manager
08
Business model 09
Intelligent core of technical vision system
Software support of the core of Hardware and software support of
the core of
general-purpose
vision systemspecial-purpose
vision system
general-purpose
vision system
special-purpose
vision system
2D
3D
4D
2D
3D
4D
2D 2D
3D 3D
4D 4DSales + rental fee Sales + rental fee
1-st stage 2-nd stage
Budget level10
30%
35%
10%
10%
15%
development costs without staff costs
staff costs
advertising and promotion campaign
administration costs
other expenses
2014
Annual budget $700.000
Budget level 11
20%
10%
35%
20%
10%5%
development costs without staff costs
production expenses without staff costs
staff costs
advertising and promotion campaign
administration costs
other expenses
2015
Profit on core sales will be used to return investments and exit
Annual budget $700.000
12Budget level
12
30%
35%
25%
5%5%
production expenses without staff costs
staff costs
advertising and promotion campaign
administration costs
other expenses
2016
Profit on intelligent core sales will be used to return investments and exit
Annual budget $700.000
Exit strategy and return of
investments
Sales and user maintenance of intelligent
cores as a sound basis of an actual
intellectualization of technical vision
systems of different applications.
Exit from IPO (over the long term)
14