1. Zentron Labs
C o m p a n y B R I E F
0 7 - a u g - 2 0 1 2
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2. Who We Are
A startup company in the Embedded-Vision
space, based out of Bangalore, India
A provider of innovative products &
solutions to complex machine-vision problems
To help industries achieve higher quality and
productivity using machine-vision
And to help companies in the developed
economies innovate using embedded-vision
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3. definition of terms
Machine vision (MV) is the process of
applying a range of technologies and
methods to provide imaging-based
automatic inspection, process control and
robot guidance in industrial applications.
Computer vision is the science that aims
to give machines and computers a
capability similar to the human eyes and
brain together.
Embedded vision is the merging of two
technologies: embedded systems and
computer vision
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4. Company Profile
In operation since:
Jul 22nd 2012
Previous revenues: nil
Size: 3
Patents: nil (as yet)
Legal status: pvt ltd in
India
Registered Name: Zentron
Labs pvt. ltd.
Web-site:
www.zentronlabs.com
Why the name Zentron Labs?
“Zen” stands for Wisdom...and
“Tron” stands for Electronics,
and more generally,
technology
Zentron is marriage of
Wisdom and Technology
Why “Labs”?
Because we want to innovate
We will do R&D that is
product/market focussed
Why “Pvt Ltd”
Because we want to build an
institution that lasts
With the participation of
several people
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5. founding team
Krishnan Ramabadran
Profile: Click here
Amaresh Kumar
Profile: Click here
Expected Investor: Zoho Corp
www.zoho.com - world leading cloud apps
Mentored by: Sridhar Vembu
Click here and here for knowing more
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7. global market for
machine-vision products
Source BCC Research
Extrapolating, the market for vision-system integrators is
~3x the above - $45B in 2012
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8. the future for
embedded vision
An inflection is happening in the embedded-vision space - it is becoming real now
Becoming a multi-billion dollar industry
Expected to be one of the top tech-growth areas for the next decade
A number of enabling technologies have advanced past the threshold for easy
adoption
Semiconductor: Embedded Processing (DSPs, image-processors, GPUs, SoCs),
CMOS (and CCD) image sensors, Optics,
Optics: Minaturization and low-cost (smart-phone cameras)
Software: Open-Source algorithms (www.openCV.org)
Data Storage and Communication: Become plenty, cheap and reliable
Embedded-Vision is expected to be a key-driver for future product innovation
IMS Market research article here
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9. The India
Opportunity
The coming decade will see rapid
industrialization of India & BRIC nations
High levels of Quality and Productivity is
Must for global participation
Machine-Vision holds promise to help achieve
that Quality and Productivity
Industry in India is underserved by MV - not
enough engineering & innovation
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10. VISION, MISSION, VALUES
VISION
to become an inspiring example from INDIA for
innovation, progress and business-excellence,
through leadership in embedded-vision
MISSION
to become an inspiring
example from INDIA for
innovation, progress and
business-excellence,
through leadership in
embedded-vision
VALUES
INTEGRITY
COMMITMENT
UNITY
INNOVATION
HAVING FUN
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11. Solutions and products
to be developed
OEM Solutions
Markets (in current priority)
Agriculture and food
sorting
Embedded Vision for
Robots
Others: Electronics,
Pharmaceutical,
Automotive
Use the above effort and initial
investment to build a team and
capability
Expand into other areas of
embedded vision
Industrial Vision platform
Processing on Android tablets
and/or embedded cubes (sub-
$500) and not PC
Use optimized cameras, even
high-quality webcams
Make the use 3D cameras
common-place
Use LEAP for surface inspection
and gauging
Use Kinect for longer distances
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12. Approach...strategy
Start small, do Machine Vision projects, and
learn the field
In parallel, build an embedded vision system
for a specific application
Use the above effort and initial investment to
build a team and capability
Expand into other areas of embedded vision
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13. Zentron LABS
Differentiators
Multidisciplinary - optics, imaging, embedded-systems,
algorithms, domain-expertise - can establish a barrier to entry
Bringing the rigor of chip-design to embedded-vision -
improves deployability
Optical design expertise - which is otherwise uncommon with
machine-vision companies
Cost differentiation - using mass-market equipment for
industrial, through algorithm innovations
Availability of good embedded design talent in India
Access to cloud technology of Zoho Corp.
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14. skills to be
developed
Vision applications using existing tools (like NI Labview,
Cognex, etc.), feature extraction, lighting, data-logging
Understanding the customer, project complexity estimation,
provisioning
openCV exposure and expertise
Python as a higher level quick-prototyping language + Matlab
for lower level evaluations
Embedded software for imaging applications - C++
Stick-PC - Raspberry Pi, Cotton Candy, Arduino, Allwin
App development in tablet OS (Android and/or iOS)
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17. ginserv incubation
We like the Ginserv incubation space (particularly for the
ambience, though the spaces are small)
Our needs are per the previous slide in terms of number of
seats/people
Plus, 30% more space for a lab
Lab will have cameras, lighting, controls and processors,
embedded boards
It would be nice if you can provide us an “unfurnished 6-seater
office”, as the “lab space”
We are an innovative product startup...hope you will support
us
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