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S U P L E AS U P L E A
Real­time pattern 
recognition and learning
jernej@suplea.com
vlado@suplea.com
Vast amounts of unclassified objects
lamp
sofa
sofa
table
chair
window
people
globe
bus
street
lamp
microwave
chair
pipe
cupboard
plate
painting
teapot
stand
table
table
table
laptop
chair
chair
chair
books
bus poster
reflectors
bird
s
building
banner
street
lamp
people
bookcase
cabinet
washing
machine
Indexing by content with Suplea tech
Jeff Hawkings, co-founder Palm and Handspring:
- created the Redwood Neuroscience Institute (RNI)
- developed a theory of neocortex (J.Hawkings, On Intelligence, 2004)
- founded Numenta in 2005 to develop a technology platform derived from
his theory
Comparable technologies
Our approach
Learning Prediction
Hierarchical and unsupervised learning In real time
Incremental learning of multi-class
object representations
With proven experimental
results
Only 1.6Mb to store a 15-
class vocabulary on disk
Training time for each
additional class is reduced
while learning multiple
classes incrementally
We can detect:
multiple objects
in real time
And our technology is scalable:
Suplea Vision
TAM SAM SOM
Est. market
growth
Future
predictions
Needed features
Data mining, BI,
financial market,
weather forecast
$10B $7B $5B 20%
$14B in
2014 for
BI only 4.1
Algorithm
generalization
Online video
advertising market
$2.3B
in 2010
2.1
$2B $1B
43% 2.1
in
US only
(2010)
$11.3B in
2012 2.1
Color dimension,
Differentiating
subcategories
Smart cameras /
application-specific
machine vision
(ASMV) systems
$2.9B
in 2010
1.1
$2B $500M 10.4% 1.1 $4.2B in
2015 1.1
Time dimension,
autonomous
learning of new
categories
Ipad application
and mobile
interfaces
opportunities
$7B in
2009
$100M $50M 30%
$17B in
2012 3.1 Color dimension
1.1: http://www.bccresearch.com/pressroom/IAS010C.html
1.2 http://www.automationworld.com/webonly-2071
1.2 Machine Vision Markets—2005 Results and Forecasts to 2010
2.1:
http://techcrunch.com/2008/08/13/lehmans-online-us-advertising-forecast-another-20-billion-in-growth-by-2012-and-onlin
e-video-takes-off/
3.1: http://mashable.com/2010/03/17/mobile-app-market-17-5-billion/
4.1 http://www.forrester.com/rb/Research/state_of_business_intelligence_software_and_emerging/q/id/56749/t/2
Market opportunities
Technology Roadmap
Color
dimension
Optimized object
classification
Differentiating
subcategories
Time dimension
Subcategory
classification
Self learning
of new shapes
Data
mining
Analyzing time
sequences
Algorithm
generalization
Autonomous
knowledge gathering
2011 Q1 2011 Q2 2011 Q3 2012 Q12011 Q4
Technology
development
Technology
placement
Predictable space/time execution, appropriate for real
time problems
Complex context mining via multiple object detection
Viable approach towards high degree of robot
autonomy
Cherry picking apps:
Image/video service that searches by content
and displays relevant ads
Visual search and touch aided design
Smart cameras
Applications
Beyond Smart Cameras
Systems build on Smart
Cameras grids
SoC design for application-
specific machine vision
High level of flexibility using
different object libraries
No additional CPU required
Real time execution
NextGen touchscreen interface
Express complex finger
gestures in visual search
Bring intuitive UI to the next
level
User gestures as actions
Responsiveness and
alertness
Delivering relevant ads
80% of Internet video
streams are currently not
monetized
Pictures without relevant
tags or context are no good
Suggesting and Searching by content
The Team
Ales Leonardis, Prof., PHD.
founder is a full professor and the
head of the Visual Cognitive Systems
Laboratory with the Faculty of Computer
and Information Science, University of Ljubljana
.
Marko Boben, PHD. founder Is an
assistant for mathematics at Faculty of
Mathematics and Physics, University of
Ljubljana, Slovenia.
Sanja Fidler, PHD. founder is a
doctoral student with the Faculty of
Mathematics and Physics, University of
Ljubljana.
Kristjan Pecanac. Three times
founder, intern CEO
Vlado Dimitrieski, founder,
applications development,
graduated in computer science at University of
Ljubljana, Slovenia
Jernej Makovsek, founder,
technology development
undergraduate at University of
Ljubljana, Slovenia studying physics.
Žiga Ham, web development,
currently an undergraduate at University of
Ljubljana, Slovenia, studying computer and
information science.
University staff Developers
For startups and businesses who
are using pattern recognition techniques
We provide a technology platform that works across multiple
domains
Unlike other technology providers who
have scalability issues and/or are locked on a
single domain
Our Company offers a single platform that works across
multiple domains.
The advantage Users are getting results in real-time and don't
have to invest in big hardware or research to
realize their goals.
Summary

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VC

  • 1. S U P L E AS U P L E A Real­time pattern  recognition and learning jernej@suplea.com vlado@suplea.com
  • 2. Vast amounts of unclassified objects
  • 4. Jeff Hawkings, co-founder Palm and Handspring: - created the Redwood Neuroscience Institute (RNI) - developed a theory of neocortex (J.Hawkings, On Intelligence, 2004) - founded Numenta in 2005 to develop a technology platform derived from his theory Comparable technologies
  • 5. Our approach Learning Prediction Hierarchical and unsupervised learning In real time Incremental learning of multi-class object representations With proven experimental results
  • 6. Only 1.6Mb to store a 15- class vocabulary on disk Training time for each additional class is reduced while learning multiple classes incrementally We can detect: multiple objects in real time And our technology is scalable: Suplea Vision
  • 7. TAM SAM SOM Est. market growth Future predictions Needed features Data mining, BI, financial market, weather forecast $10B $7B $5B 20% $14B in 2014 for BI only 4.1 Algorithm generalization Online video advertising market $2.3B in 2010 2.1 $2B $1B 43% 2.1 in US only (2010) $11.3B in 2012 2.1 Color dimension, Differentiating subcategories Smart cameras / application-specific machine vision (ASMV) systems $2.9B in 2010 1.1 $2B $500M 10.4% 1.1 $4.2B in 2015 1.1 Time dimension, autonomous learning of new categories Ipad application and mobile interfaces opportunities $7B in 2009 $100M $50M 30% $17B in 2012 3.1 Color dimension 1.1: http://www.bccresearch.com/pressroom/IAS010C.html 1.2 http://www.automationworld.com/webonly-2071 1.2 Machine Vision Markets—2005 Results and Forecasts to 2010 2.1: http://techcrunch.com/2008/08/13/lehmans-online-us-advertising-forecast-another-20-billion-in-growth-by-2012-and-onlin e-video-takes-off/ 3.1: http://mashable.com/2010/03/17/mobile-app-market-17-5-billion/ 4.1 http://www.forrester.com/rb/Research/state_of_business_intelligence_software_and_emerging/q/id/56749/t/2 Market opportunities
  • 8. Technology Roadmap Color dimension Optimized object classification Differentiating subcategories Time dimension Subcategory classification Self learning of new shapes Data mining Analyzing time sequences Algorithm generalization Autonomous knowledge gathering 2011 Q1 2011 Q2 2011 Q3 2012 Q12011 Q4 Technology development Technology placement
  • 9. Predictable space/time execution, appropriate for real time problems Complex context mining via multiple object detection Viable approach towards high degree of robot autonomy Cherry picking apps: Image/video service that searches by content and displays relevant ads Visual search and touch aided design Smart cameras Applications
  • 10. Beyond Smart Cameras Systems build on Smart Cameras grids SoC design for application- specific machine vision High level of flexibility using different object libraries No additional CPU required Real time execution
  • 11. NextGen touchscreen interface Express complex finger gestures in visual search Bring intuitive UI to the next level User gestures as actions Responsiveness and alertness
  • 12. Delivering relevant ads 80% of Internet video streams are currently not monetized Pictures without relevant tags or context are no good Suggesting and Searching by content
  • 13. The Team Ales Leonardis, Prof., PHD. founder is a full professor and the head of the Visual Cognitive Systems Laboratory with the Faculty of Computer and Information Science, University of Ljubljana . Marko Boben, PHD. founder Is an assistant for mathematics at Faculty of Mathematics and Physics, University of Ljubljana, Slovenia. Sanja Fidler, PHD. founder is a doctoral student with the Faculty of Mathematics and Physics, University of Ljubljana. Kristjan Pecanac. Three times founder, intern CEO Vlado Dimitrieski, founder, applications development, graduated in computer science at University of Ljubljana, Slovenia Jernej Makovsek, founder, technology development undergraduate at University of Ljubljana, Slovenia studying physics. Žiga Ham, web development, currently an undergraduate at University of Ljubljana, Slovenia, studying computer and information science. University staff Developers
  • 14. For startups and businesses who are using pattern recognition techniques We provide a technology platform that works across multiple domains Unlike other technology providers who have scalability issues and/or are locked on a single domain Our Company offers a single platform that works across multiple domains. The advantage Users are getting results in real-time and don't have to invest in big hardware or research to realize their goals. Summary