Sightech Machine Vision - Self Learning Eyebot
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ABOUT

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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