Emerging 3D Vision Technologies: Time of Flight, Active/Passive Imaging, Options
August 27, 2019
Noon - 1 PM ET
ABOUT THIS WEBINAR
Robots with three-dimensional (3D) vision capabilities complete more than one task without reprogramming and account for unforeseen variables in work environments. Further, 3D vision allows a robot to recognize what’s in front of it, to a certain extent, and react accordingly. Today, 3D imaging is commonly applied in metrology, guidance and defect analysis. Attendees of this webinar will discover key components and techniques for delivering 3D images in machine vision, and outline how these are used in different applications.
This webinar will:
- Highlight the extensive range of 3D components available for machine vision.
- Explain how 3D components work.
- Outline specific applications and how different components are targeted for these applications.
SPONSORS:
FLIR Systems, Inc.
FLIR Systems, Inc. designs, develops, manufactures, markets, and distributes technologies that enhance perception and awareness. We are a global leader in the design and manufacturing of high-performance CMOS and CCD cameras for industrial, scientific, medical, traffic, and security applications. We offer a unique and comprehensive portfolio of USB 3.1, GigE, 10GigE, and FireWire cameras known for their outstanding quality, ease of use, and unbeatable price-performance.
Click Here for MoreLucid Vision Labs
Lucid Vision Labs, Inc. designs and manufactures innovative machine vision cameras and components that utilize the latest technologies to deliver exceptional value to customers. Our compact, high-performance GigE Vision cameras are suited for a wide range of industries and applications such as factory automation, medical, life sciences and logistics. Our expertise combines deep industry experience with a passion for product quality, technology innovation and customer service excellence. Lucid Vision Labs, Inc. was founded in January 2017 and is located in the greater Vancouver area, Canada.
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Teledyne E2v
e2v is a leading designer and manufacturer of high performance image sensors (CMOS, CCD, EMCCD) and cameras for a broad range of applications including machine vision, medical, science, aerospace and defense imaging. e2v produces the class-leading UNiiQA+, ELiiXA+, AViiVA, and DIViiNA line scan camera ranges which address a broad range of applications. e2v's recently launched UNiiQA+ family of cameras, have been specifically designed to bring affordable, flexible and simple high speed solutions to your current inspection or sorting system. The broad choice of UNiiQA+ cameras offers a ‘one-stop-shop’ solution at multiple price points in order to accommodate any performance requirement and any budget.
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David Dechow
David L. Dechow is Principal Vision Systems Architect for Integro Technologies Corp., where he works with sales and engineering teams in the application evaluation and design of complex turnkey machine vision solutions.
Mr. Dechow has worked in the field of machine vision, automation, and robotics for over 35 years as a programmer, engineer, and business manager, and is recognized as a leading expert in the area of machine vision integration and technology. Prior to his position at Integro, he was Staff Engineer for Intelligent Robotics/Machine Vision at FANUC, and also was the founder, owner, and principal engineer for two successful systems integration firms.
Mr. Dechow is a recipient of the AIA Automated Imaging Achievement Award honoring industry leaders for outstanding career contributions in industrial and/or scientific imaging. He is a regular speaker at conferences, webcasts, and seminars, has had numerous articles on machine vision technology and systems integration published in trade journals and magazines, and is a member of the ASME (American Society of Manufacturing Engineers) Robotic Technologies Advisory Panel.
As a key educator within the industry for many years, Mr. Dechow has participated in the training of hundreds of engineers as an instructor with the AIA Certified Vision Professional program.
