Sightech is a manufacturer
of industrial vision systems for
quality inspection and factory
automation. Sightech offers a
revolutionary new approach to machine
vision that learns how to recognize
parts or monitor repetitive processes
all by itself. This powerful
self-learning vision technology opens
up new frontiers in machine vision -
solving many vision problems that
previously could not
be
solved.
It is often
necessary to think "out of the box"
when looking for applications for our
technology. Customers need to look
beyond the applications they normally
associate with machine vision. Many
applications that were previously not
considered candidates for traditional
vision methods, can now be
effectively addressed and solved with
Sightech's self-learning vision
products.
Sightech Vision
Systems, Inc. was born and raised in
the Silicon Valley and has 15 years
of Research and Development behind
its products. Sightech was conceived
in 1983, when Art Gaffin wondered how
yellow jackets navigate. Working out
of his garage in the Silicon Valley,
mostly part-time, Mr. Gaffin started
developing his theories on
vision.
Nine years ago, an
adventurous engineer was impressed by
Mr. Gaffin's theories and decided to
collaborate with him. Over many years
the two worked mostly evenings and on
weekends to develop what would become
Eyebot. Indeed, every 16 months they
developed a new incarnation and by 1995
they had developed their 9th
model.
Sightech released its first
official version of Eyebot in 1997 and
has experienced substantial growth ever
since. Additional models include
the
Multi-Session (MS) Eyebot and the PC
Eyebot.
Sightech's customers include:
Unilever, Sylvania, IBM, and Proctor
& Gamble.
What We Do
Sightech Vision Systems, Inc.
makes self-learning machine vision
systems that assist manufacturers in
inspecting their products for visual
defects. Manufacturers purchase
Sightech products to improve their
quality control. Here's some examples
of where Sightech's machine vision
systems can be used to inspect various
processes, including:
- Inspect for
the quality of produce as well as the
presence of foreign
materials
- Insure that
surgical tools are properly placed in
kits
- Inspect for
breaks or voids in epoxy seals in
biomedical products
- Verify that
a crimp (or notch) has been put on a
metal nut
- Inspect
pipette tips for the pharmaceutical
industry
- Inspect for
misplaced HD (hard disk) platters in
the mfg cassettes for the HD
industry
Sightech's
revolutionary products have changed
the way people think of the machine
vision market, no longer does it have
to be an expensive and time consuming
process. Sightech is now the fastest
growing machine vision company in the
world and the leader of self-learning
systems.
Sightech's devices
are special because they are
self-learning; in other words,
there is no programming required! A
manufacturer simply has to show our
devices good parts, thereby teaching
it what is acceptable. After a couple
of minutes (or seconds) of training,
our devices will then be able to
detect if a part is good or not. In
short, Sightech's products are
embodied with artificial intelligence
called Neuro-RAM
tm;.
Sightech's devices
will learn whatever you show it. Size
does not matter: Sightech's devices
can learn atoms or galaxies; they've
learned fruit and even human faces.
Ultimately, Sightech believes its
technology could be used in robotic
navigation, picking fruit from trees,
or identifying a face in a crowd.
Sightech believes it will deliver the
enabling technology for widespread
use of robots in the 21st
century.
We've made machine
vision available to quality conscious
manufacturers, security providers,
biomedical research centers, and
other machine vision users. Sightech
will tailor its products to fit your
needs. Sightech is also interested in
establishing additional OEM's and
distributors.
Why
Sightech
Products?
Sightech's devices
are special because they are
self-learning; in other words,
there is no programming required! A
manufacturer simply has to show our
devices good parts, thereby teaching
it what is acceptable. After a couple
of minutes (or seconds) of training,
our devices will then be able to
detect if a part is good or not. In
short, Sightech's products are
embodied with artificial intelligence
called Neuro-RAM
tm;.
Sightech's devices
will learn whatever you show it. Size
does not matter: Sightech's devices
can learn atoms or galaxies; they've
learned fruit and even human faces.
Ultimately, Sightech believes its
technology could be used in robotic
navigation, picking fruit from trees,
or identifying a face in a crowd.
Sightech believes it will deliver the
enabling technology for widespread
use of robots in the 21st
century.
We’ve made
machine vision available to quality
conscious manufacturers, security
providers, biomedical research
centers, and other machine vision
users. Sightech will tailor its
products to fit your needs. Sightech
is also interested in establishing
additional OEM's and
distributors.
Where Does Sightech Come
From?
Sightech was born and
raised in the Silicon Valley and has
15 years of R&D behind its
products. Art Gaffin, Sightech's
Chairman and CEO, started Sightech
from his garage in the Silicon Valley
in the early 1980's. Mr. Gaffin
wondered, how can yellow jackets (a
type of bee) see and navigate even
though they have a brain the size of
a piece of pepper? He concluded that
nature had a elegant algorithm that
allowed yellow jackets
to see. His goal was to decode
nature's learning algorithm and put
it into silicon.
Our Mission
Statement
Sightech's mission is to
change the way people think of the
machine vision market by promoting
its revolutionary technology and
products:
-
No longer does
implementing machine vision have
to be an expensive and time
consuming
process.
-
Many previously
unsolvable machine vision
problems can now be readily
implemented with its paradigm
shifting
approach.
-
In addition to selling
products, Sightech is actively
marketing its know-how by
offering technology licensing for
specific markets, etc.
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