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Deep Learning Transforms Defect Detection, Quality Control, and Robotics Automation

Jul 18, 2023
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About This Webinar
In this 30-minute presentation, Anderson will delve into the uses of 2D and 3D imaging and the critical role of deep learning in advancing these technologies.

The presentation covers the fundamental principles of 2D and 3D imaging and how they can be used in different applications in the manufacturing industry. Anderson will also discuss the strengths and limitations of each imaging technique and how they can be combined to achieve more robust results.

With a focus on deep learning, a powerful subfield of machine learning that is revolutionizing the automation industry., Anderson demonstrates how deep learning can be used to analyze large datasets and extract previously impossible insights.

The talk includes real-world examples of how these imaging techniques and deep learning are used in the manufacturing industry for defect detection, quality control, and robotics automation. Some of the challenges and considerations involved in deploying these technologies in a production environment.

By the end of this presentation, attendees will have a deep understanding of the potential of 2D and 3D imaging and the transformative role of deep learning in the manufacturing and automation industry.

*** This presentation premiered during the 2023 Vision Spectra Conference. For more information on Photonics Media conferences, visit events.photonics.com.

About the presenter

Jim AndersonJim Anderson is a seasoned professional in the automation industry, with over two decades of experience, the last 15 of which have been focused on machine vision. He has worked in various phases of the application cycle, from an application specialist to a product manager, and now as an end-to-end project delivery expert.

Anderson began his career as an application specialist, where he helped companies leverage 3D technology to solve complex applications. He later transitioned to a product manager role, contributing significantly to bringing imaging-based products to the market, both in the business's machine vision and industrial code reading segments.

In recent years, Anderson's focus has been on the end-to-end project delivery that many customers are seeking in the imaging segment of automation. He has a wealth of experience in vision-guided robotics, with applications ranging from bin picking to navigation.

Anderson is an active member of the A3 and now serves on A3 Vision & Imaging Technology Strategy Board. His expertise in 3D vision has led him to present at various shows and conferences, including the CVP program.
3D visiondeep learningmachine visionroboticsVision Spectradefect detectionautomationquality control
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