Robotic Vision Technologies Secures $10.5M Funding

Robotic Vision Technologies Inc. (RVT), a leader in the machine vision software industry, has announced that it has secured more than $10.5 million in funding. The investment comes from a mix of CEO and Director funding as well as investments from technology funds from Silicon Valley, Northern Virginia, Canada and Germany.

To date, RVT has used its funding to focus heavily on R&D while continually enhancing its software with faster computing power producing increased precision and speed with low-cost, yet highly sophisticated, off-the-shelf vision hardware components. With those efforts solidified, the company is now in the phase of building out its sales and marketing capabilities to support growth and market penetration in both the industrial and collaborative robot markets.

“Our focus has been to perfect our quality and product line prior to any major marketing effort,” said RVT Founder and Chief Executive Officer Rick Weidinger. “With the success we have achieved in early implementations along with the patents we’ve secured for our innovation, now is the time to build our sales channels and lead the way in 3D vision guidance software.”

RVT and its partners were recently granted four new patents for several aspects of its technology, including visual sensing and processing software that improves the efficiency and safety of automated robotic systems. RVT has recently filed for 14 patents for a total portfolio of 20 vision guidance patents. Major automotive and
other manufacturers are already using RVT’s new technology in their factories, and more are applying upgraded RVT software into their production lines now.

RVT recently announced that its eVisionFactory (eVF) software platform is the most accurate and precise
vision guidance solution among global leaders according to a recent study by one of the world’s largest and most technologically advanced automakers. RVT outperformed competitors across all six degrees of freedom, performing 10 to 100 times more accurately than any other platform.

Determining all six degrees of freedom accurately is one of the greatest challenges in the field of vision guidance for robotics,” said RVT VP, engineering Paul Weidinger. “Our platform enhanced accuracy beyond either the camera resolution or the robot itself, showing the critical nature of software in the success of robotics in all fields.”


The study included a series of tests to gage the repeatability and reproducibility (gage R&R) of positional calculations, an industry standard method that objectively compares the accuracy between vision systems. These tests included measuring the ability of a robot to find a vehicle part, both when the part was moved to multiple known positions between tests and when the part was left in place between tests. In both series of tests, eVF scored top marks for all six degrees of freedom.

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