Vision Guided Robotics: Techniques for Pick and Place Applications

March 14, 2017

12:00-1:30 pm ET


One of the rapidly advancing applications in machine vision is Vision Guided Robotics (VGR).  This technology continues to facilitate flexible automation in many industries, and helps to increase productivity and reduce production costs.  This webinar will review some of the basic execution techniques for successful pick and place applications using VGR, and will touch upon related cutting edge technologies such as 3D guidance and deep learning.

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David Dechow

David L. Dechow is Staff Engineer for Intelligent Robotics/Machine Vision at FANUC’s North American corporate office in Rochester Hills Michigan where he is responsible for the iRVision product and machine vision technology for robotic guidance and flexible automation.

Mr. Dechow has worked in the field of machine vision, automation, and robotics for over 33 years as a programmer, engineer, and business manager and is recognized as a leading expert in the area of machine vision integration and technology. Prior to his position at FANUC, he was the founder, owner, and principal engineer for two successful systems integration firms. Mr. Dechow is a recipient of the AIA Automated Imaging Achievement Award honoring industry leaders for outstanding career contributions in industrial and/or scientific imaging. He is a regular speaker at conferences and seminars, has had numerous articles on machine vision technology and systems integration published in trade journals and magazines, and is a member of the ASME (American Society of Manufacturing Engineers) Robotic Technologies Advisory Panel.

As a key educator within the industry for many years, Mr. Dechow has participated in the training of hundreds of engineers as an instructor with the AIA Certified Vision Professional program.

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