Duration: 1 hour
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Summary
The latest vision systems technologies blur the differences between machine vision and computer vision. Vision systems are becoming the “eyes” of the factory floor, thanks to artificial intelligence, deep learning and GPUs and the ability to implement computer vision on embedded platforms in small form factors. Both machine vision and computer vision use image capture and analysis to perform tasks with speed and accuracy that eclipses human visual capabilities. Both need similar components: a camera, frame grabber, lighting and software to handle the data. What’s the difference and how do these systems overlap?
Vision systems veterans Eric Hershberger, principal applications engineer, Cognex, and David L. Dechow, owner/consultant, Machine Vision Source, provide high-level insights into recent machine vision tools and trends. Drawing on application stories and their decades of integration experience, they provide tips and offer essential considerations for designing vision system integrations.
What you will learn:
- Overlapping Technologies: The difference between machine vision and computer vision.
- Sample Applications: How machine vision is used in automotive applications (surface analysis and transmission housing porosity inspections) and food & beverage (contamination inspection).
- Essential Considerations: Key factors when appraising feasibility (whether the technology is needed) and viability (the return on investment and profitability) of projects.
Speakers
Eric Hershberger
Principal Applications Engineer
Cognex
With more than 23 years of machine vision integration and application experience, Hershberger programs robots, PLCs and cameras. He has extensive commercial and program management experience in machine vision, metrology and information technology. Hershberger says has a few tips and tricks to make life easier for those difficult-to-solve vision projects that never have a good solution. He spends more time figuring out how to simplify the solution to make the support of the application easier. “I love a tough problem to challenge me and make me think really hard!” he said.
David L. Dechow
Owner/Consultant
Machine Vision Source
David L. Dechow is an engineer, programmer and technologist, and expert in the integration of machine vision, robotics and automation technologies. Over a decades-long career in the industry, David has served various companies and was founder, owner, and principal engineer for two automation systems integration firms.
Dechow is a recipient of the A3 Automated Imaging Achievement Award recognizing career achievements in the machine vision industry, is a member of the Association for Advancing Automation (A3) Imaging Technology Strategy Board and is contributing editor for Vision Systems Design magazine.
As an educator within the machine vision industry, he has participated in the training of hundreds of engineers as an instructor with the A3 Certified Vision Professional program. He also is well known for his informative technical articles, papers, webinars and conference sessions on vision and related technologies.
Moderator: Rehana Begg
Editor-in-Chief
Machine Design
As Machine Design’s content lead, Rehana Begg serves as point person for analyzing trends and synthesizing technical information. Begg focuses on engaging engineering audiences through serviceable information that advances their understanding of current and future engineering technologies. Begg has served as lead editor at a string of Canadian industrial manufacturing publications.
Her B2B career has taken her from corporate boardrooms to plant floors and underground mining stopes, covering everything from maintenance and reliability to plant engineering, emergent technologies, automation, IIoT/software, and continuous improvement and strategy. She holds a Master of Journalism, a BA (Hons.) in Political Science and an MBA specializing in Project Management.
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