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Excelitas PCO GmbH - PCO.Edge 11-24 BIO LB

How to Get Started with Smart Cameras for AI Applications

Jul 16, 2024
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Sponsored by
Baumer Ltd.
About This Webinar
Are you looking to optimize your operations and solve complex applications with AI? You are not alone. AI is the future of machine vision, but many companies don’t know how to get started with AI. In this session, Nagle, a machine vision specialist from Baumer, provides specific advice for how companies can get started with freely programmable smart cameras for AI applications, in collaboration with long-term partner and customer Event Capture Systems (ECS).

ECS, known for creating outstanding complex, camera-based quality control systems in paper mills, shares their journey with AI, the challenges they have faced over the past five years exploring with AI, and how they got started. Specifically, they discuss what it takes to get good data to make decisions on operations using the freely programmable VAX Smart Camera.

*** This presentation premiered during the 2024 Vision Spectra Conference. For more information on Photonics Media conferences and summits, visit events.photonics.com

About the presenters

Mike NagleMike Nagle is a machine vision specialist at Baumer focusing on the West Coast. Nagle earned his mechanical engineering degree from the University of Dayton. With a proven track record of providing customer solutions to make production more efficient, safe, and profitable, he is an expert in industrial automation.

His experience as a key account manager at Rockwell has given him the skills to help customers find the right industrial cameras for their applications based on their specifications. Nagle has also done several talks and webinars in his career at Baumer to educate customers in the field of machine vision and the latest advancements, including smart cameras for AI applications.
 
Brian MockBrian Mock is the president of Event Capture Systems located in Charlotte, North Carolina. He completed his undergraduate studies at NC State with a bachelor’s degree in civil engineering and a master’s degree in civil and textile engineering. He has been working in the paper industry for over 25 years in camera-based quality control technologies.

He currently serves as Chair of the Process Control Division for TAPPI and the Machine Vision Common Interest Group and has several published papers as well as 3 US Patents. Mock also enjoys working closely with students and faculty at the NC State Pulp and Paper School’s pilot paper machine to ensure their students are actively exposed to vision-based quality control technologies during their college experience.
 
John Larkin
artificial intelligencecamerasVision Spectra
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