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Best Practices for VGR Integration

Jul 21, 2021
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Successful implementation of vision-guided robotics (VGRs) for industrial automation involves component specification, architecture design, calibration, and programming of both vision components and robots. David L. Dechow discusses best practices for VGR projects when integrating 2D and 3D machine vision technologies. He will include use cases and examples for specific common applications, such as machine tending, part tracking, and bin picking.

***This presentation premiered during the 2021 Vision Spectra Conference. For more information on Photonics Media conferences, visit

About the presenter:
David L. DechowDavid L. Dechow is a globally recognized expert in the integration of machine vision, robotics, and industrial automation technologies. He is the principal vision systems architect for Integro Technologies Corp., where he works with sales and engineering teams in the application, evaluation, and design of complex automated inspection solutions. Prior to his position at Integro, he was staff engineer for Intelligent Robotics/Machine Vision at FANUC. Prior to FANUC, Dechow was the founder, owner, and principal engineer for two successful systems integration firms. Dechow is a recipient of the A3 Automated Imaging Achievement Award, which honors industry leaders for outstanding career contributions in industrial and/or scientific imaging. He is a member of the A3 board of directors and a member of the American Society of Manufacturing Engineers (ASME) Robotics Technology Advisory Panel.
3D visionautomationbin pickingmachine visionroboticsVision Spectraindustrialvision-guided roboticsVGR
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