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Avoid the High Cost of Low-Performing Machine Vision Solutions

Photonics.com
Mar 2017
PITTSFIELD, Mass., March 6, 2017 — Whether you are planning an update or a new build to your machine vision system, Integrating Camera Technology Into an Outstanding Machine Vision Solution, on Friday, March 10 at 1 p.m. ET, will show you how to get your project right the first time, with tips, information and real-life examples from a wide range of industries. Presenter Rex Lee, Ph.D., is a machine vision professional with more than four decades of experience in business and academe.

Lee will cover all the components of a successful machine vision system, including: cameras, lighting, lenses, software, sensors and detectors. He will take you through the steps of writing technical specifications that reflect your unique needs and provide guidance on how to decide whether a turnkey system is right for you.

Selecting the wrong camera for your application could result in a machine vision system that costs too much for what it delivers — even to the point of failing. This one-hour webinar will help you make sure that you choose correctly from the many cameras that are available.

Rex Lee, CEO of Pyramid Imaging, Inc.About the presenter: Rex Lee, Ph.D., is CEO and president of Pyramid Imaging, Inc., a distributor and integrator of machine vision and video imaging solutions for organizations in the security, manufacturing, aerospace, defense, building & construction and other industries. He holds two patents related to high-density electronic packaging and serves on the Board of Directors for the Automated Imaging Association.

Who should attend: Engineers, designers, business owners, scientists, educators and anyone who is considering using cameras for image analytics. The presentation will include examples using machine vision to solve problems in every industry.

Click here to register for this free webinar. Space is limited — register today.

This webinar is sponsored by Allied Vision, Teledyne DALSA, FRAMOS and FLIR IIS.


Research & TechnologyAmericasmachine visionimagingcamerassmart camerasSensors & Detectors

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