Prior to designing a vision system for a robotics application, it is important to ensure that pass and fail images are sufficiently differentiated, and that the system is trained to focus on the features of the pass images. Our expert speaker, Jeff Boeve of JR Automation, will offer tips on this and more in a webcast on December 9.
In addition to discussing the importance of the pass features and the vision system’s training to identify these, Boeve will discuss the handling of variation in the images and the appearance of pass/fail parts, while offering advice on controlling the vision system environment and managing unexpected variables. Lastly, he will discuss considerations for lighting, cameras, and software, and how these choices can affect the outcome of your system design, while also devoting time for a question and answer period at the end of the webcast.
Thiswebcast is sponsored by Point Grey.
Vision technologies for robotics: Application do’s and don’ts
December 9, 2014
11:00 AM EST (Approximately one hour)
Jeff Boeve, JR Automation
Click here for registration information.
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Vision-guided robot learning to fly real airplanes
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Industrial Automation: Robots and vision team for photonic devices assembly
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