Search
Menu
PFG Precision Optics - Precision Optics 12/24 LB

Machine Vision System Design and Integration: Challenges and Trends

Feb 19, 2020
Facebook X LinkedIn Email
TO VIEW THIS WEBINAR:
Login  Register
Sponsored by
Teledyne DALSA, Machine Vision OEM Components
Euresys SA
Allied Vision Technologies GmbH
IDS Imaging Development Systems GmbH
About This Webinar
This webinar will help you develop a plan for your machine vision system that will ensure reliability, repeatability, standardization, and quality on the factory floor. It will discuss traditional versus deep learning systems, and when to use deep learning techniques. You will learn what to focus on when you have limited time to evaluate a system; how and when to choose a system integrator; how to quantify performance during testing; and how to build flexibility and adaptability into your system so it will serve you well for years to come. Presenter Tom Brennan, president of Artemis Vision, will also briefly discuss trends in machine vision, such as 3D imaging and embedded vision, and how to incorporate these new developments in machine vision into your system design.

The machine vision industry begins the new decade on the heels of tremendous growth and change. This webinar will provide you with the practical information and guidance you need to successfully start planning your machine vision goals for 2020 and beyond.

About the presenter:
Tom Brennan, President, Artemis VisionTom Brennan is president and founder of Artemis Vision, which builds vision systems for automated inspection and quality control. An AIA Advanced Level Certified Vision Professional, he has worked in the industrial machine vision and imaging processing software market for the past 10 years and has delivered numerous industrial machine vision systems around the world for industries from medical to automotive to defense. Brennan got his start in the vision industry designing machine vision vehicle detection algorithms as a research effort for the DARPA Urban Challenge. He holds a BSE in computer science from Princeton University.

Who should attend:
Systems engineers, technical professionals, and managers involved in industrial automation, plant management, and/or quality control and assurance, from all industries including automotive, construction, energy, food and beverage, medical/pharmaceutical, general manufacturing, and aerospace and defense. Anyone who is interested in technology trends such as deep learning and newer vision system architectures utilizing 3D and other technologies.

Read Deep Learning Put to the Test by Tom Brennan, Artemis Vision (Vision Spectra, Winter 2019).

This webinar is sponsored by Teledyne DALSA, part of the Teledyne Imaging group and a world leader in the design, manufacture, and deployment of digital imaging components for the machine vision market.

This webinar is sponsored by Euresys SA, a leading and innovative high-tech company, designer, and provider of image and video acquisition components, frame grabbers, FPGA IP cores, and image processing software.

This webinar is sponsored by Allied Vision Technologies GmbH, a leading camera manufacturer in the worldwide machine vision market, supplying camera technology for industrial inspection, medical and scientific imaging, traffic monitoring, and more.

This webinar is sponsored by IDS Imaging Development Systems GmbH, a developer of high-performance USB, GigE, and 3D cameras with a wide spectrum of sensors for a range of applications in the non-industrial and industrial sectors.

 

Research & TechnologyeducationWebinarsBusinessArtemis VisionAmericasTom BrennanImagingSensors & Detectors3D visionautomationcamerasEmbedded Visionmachine visionsystem integratorssmart camerasindustrialdeep learningquality assurancequality controlfactory automationVision SpectraTeledyne DalsaEuresys s.a.Allied Vision TechnologiesIDS Imaging Development Systems GmbH
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.