Advances in Machine Vision Classification & Identification: 3D, Deep Learning, and More

October 22, 2020

Noon - 1 PM ET


Machine vision is recognized as a basic technology in industrial automation, particularly in the identification, location, or classification of objects, defects, and features within a broad and growing application base. New capabilities and use cases continue to emerge. This webcast will discuss the technologies and implementation concepts driving success in these tasks over a variety of markets and purposes. We will also discuss new and advanced components and software that are making identification and classification more reliable and easier in specific cases.

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David Dechow

David L. Dechow is a globally recognized expert in machine vision integration and 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 turnkey machine vision solutions. Prior to his position at Integro, he was Staff Engineer for Intelligent Robotics/Machine Vision at FANUC, and earlier was the founder, owner, and principal engineer for two successful machine vision 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 member of the Automated Imaging Association Board of Directors, and serves on the editorial advisory board of Vision Systems Design magazine.

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. He is well known for his many informative technical articles, webinars and conference sessions which span a wide range of machine vision topics and technologies.

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