Braintech Supports Vision Guided Robotic Accuracy Tests

Braintech’s Vision Software Installed on a FANUC Robot provides Test Bed for Experiments.MCLEAN, Va., May 18, 2009. Braintech Inc. (OTC BB: BRHI) is actively supporting an applied research project at a national research laboratory to evaluate the accuracy of visual sensors that measure position and orientation in manufacturing applications in real time. Braintech has loaned a copy of eVisionFactory® (eVF™), its award-winning Vision Guided Robotic (VGR) software product, for the exercise to create a procedure that would lead to standards for measuring the accuracy of robotic/vision sensors that provide real-time position and orientation information.

“For this research and exercise, Braintech set up its vision software on the FANUC Robot in the Intelligent Systems Division’s lab at the National Institute of Standards and Technology (NIST). The Intelligent Systems Division is in NIST’s Manufacturing Engineering Laboratory,” Braintech CEO Rick Weidinger said. “This represents an important deployment in the government and we have focused our support on the utilization of Single Camera 3D (SC3D®) with automatic calibration, training, testing and data archiving capability. This is an important opportunity to help American manufacturing retool for the future.

“Braintech recognizes that American manufacturing needs to change and new solutions must be flexible, accurate and facilitate rapid retooling. Flexibility is the key to adapting to the ever-changing market and easy-to-use, accurate and adaptable vision guided robotic solutions permit cost effective retooling.”

Braintech is providing one of the sensors used in the NIST ISD experiments to define and implement metrics for determining the accuracy and repeatability of sensors for applications such as robotic pick and place. After an initial stationary part accuracy exercise is completed, the NIST engineers plan to address performance measures for sensors that locate parts in motion. The Braintech eVF may be used for these tests as well. Continuous moving line (CML) is a key factor in the successful conversion of American manufacturing to state-of-the-art rapid retooling.

For the tests at NIST, Braintech eVF software has been integrated into a FANUC Model R-30iA Controller and Model M16iB/20 Robot and initial accuracy measurements have been made on a stationary part. Images from an Ethernet-ready JAI GigE camera are sent to a Braintech-enabled PC.

About Braintech Inc.:

Braintech’s (OTC BB: BRHI) software products offer robust, scalable and transferable Vision Guided Robotic (VGR) solutions used for industrial and government & defense service applications. The company’s software is being utilized every day with over 170 installations worldwide. Braintech’s customers include Toyota, Johnson & Johnson, Boeing, Harley-Davidson, Chrysler, Delphi, Honda, GM, Ford, Nissan, BAE Systems, Makino and ABB. The company has offices in McLean, Virginia, Pontiac, Michigan, and Vancouver, British Columbia, Canada.

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Statements in this document that are not purely historical are forward-looking statements and reflect the current views of management with respect to future events and are subject to certain risks, uncertainties and assumptions. It is important to note that the Company’s actual results could differ materially from those in such forward-looking statements. Factors that could cause actual results to differ materially include risks and uncertainties outlined in the Company’s 10-K filed March 31, 2009 and the Company’s 10-Q filed May 15, 2009 including the Risk Factors of cash availability as well as other risks and uncertainties such as difficulties in developing the products; difficulties in hiring qualified employees; competition from other suppliers of similar products; pricing that may not be acceptable to potential markets; and many other known and unknown factors. Readers should also refer to the risk disclosures outlined in the Company’s 10-K and 10-Q Forms filed from time to time with the SEC.


Tim Tuttle

Braintech Inc.

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